Updated on 2025/06/15

写真a

 
YADA,Katsutoshi
 
Organization
Faculty of Business Data Science Professor
Title
Professor
Contact information
メールアドレス
External link

Degree

  • Doctor of Business Administration ( 2002.12 )

  • Master of Business Administration ( 1994.3 )

Research Areas

  • Humanities & Social Sciences / Business administration

  • Informatics / Intelligent informatics

  • Humanities & Social Sciences / Library and information science, humanistic and social informatics

Education

  • Kobe University of Commerce   Graduate School, Division of Administration

    1997

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    Country: Japan

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Professional Memberships

Committee Memberships

  • The Japanese Society for Artificial Intelligence   Board member  

    2023.7 - Present   

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    Committee type:Academic society

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  • 人工知能学会   理事  

    2020.7 - 2022.7   

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    Committee type:Academic society

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  • 経営情報学会   代議員  

    2022.4 - Present   

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    Committee type:Academic society

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  • 人工知能学会   代議員  

    2015 - Present   

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    Committee type:Academic society

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Papers

  • Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system Reviewed

    Yi Zuo, Junhao Jiang, Katsutoshi Yada

    Scientific Reports   15 ( 1 )   2025.1

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1038/s41598-024-84599-3

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    Other Link: https://www.nature.com/articles/s41598-024-84599-3

  • Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks Reviewed

    Licheng Zhao, Yi Zuo, Katsutoshi Yada

    Advances in Data Analysis and Classification   2022.8

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    Authorship:Last author   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1007/s11634-022-00517-3

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    Other Link: https://link.springer.com/article/10.1007/s11634-022-00517-3/fulltext.html

  • Duration of price promotion and product profit: An in-depth study based on point-of-sale data

    Zhen Li, Katsutoshi Yada, Yusuke Zennyo

    Journal of Retailing and Consumer Services   58   2021.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier Ltd  

    DOI: 10.1016/j.jretconser.2020.102277

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  • The influence of sales areas and bargain sales on customer behavior in a grocery store

    Natsuki Sano, Katsutoshi Yada

    NEURAL COMPUTING & APPLICATIONS   26 ( 2 )   355 - 361   2015.2

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s00521-014-1619-8

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  • A framework for analysis of the effect of time on shopping behavior

    Keiji Takai, Katsutoshi Yada

    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS   41 ( 1 )   91 - 107   2013.8

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s10844-012-0223-6

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  • Analyzing consumers' shopping behavior using RFID data and pattern mining

    Takanobu Nakahara, Katsutoshi Yada

    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION   6 ( 4 )   355 - 365   2012.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s11634-012-0117-z

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  • String Analysis Technique for Shopping Path in a Supermarket

    YADA Katsutoshi

    Journal of Intelligent Information Systems   36 ( 3 )   2009

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    Forthcoming

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  • Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability

    Katsutoshi Yada, Edward Ip, Naoki Katoh

    DECISION SUPPORT SYSTEMS   44 ( 1 )   223 - 234   2007.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.dss.2007.03.014

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  • The Impact of Greenwashing on Job Applicant's Choice of Company Reviewed

    Katsutoshi Yada, Ken Ishibashi, Zhen Li, Takuya Iwasaki, Keiji Takai, Asako Kimura

    2024 International Conference on Sustainable Technology and Engineering (i-COSTE)   1 - 4   2024.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/i-coste63786.2024.11025056

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  • Evaluation of sales areas in supermarket by Markov chain model

    Natsuki Sano, Katsutoshi Yada, Shunsuke Okamoto, Tomomichi Suzuki

    Proceedings of the 2024 11th Multidisciplinary International Social Networks Conference   50 - 54   2024.8

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    Publishing type:Research paper (international conference proceedings)   Publisher:ACM  

    DOI: 10.1145/3675669.3675676

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  • Customer Behavior Analysis and Classification Based on Process Mining.

    Meijun Liu, Licheng Zhao, Fengmei Sun, Weizheng Zhao, Yi Zuo, Katsutoshi Yada

    2021 IEEE International Conference on Systems, Man, and Cybernetics(SMC)   1000 - 1005   2021

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    Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/SMC52423.2021.9659063

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    Other Link: https://dblp.uni-trier.de/db/conf/smc/smc2021.html#LiuZSZZY21

  • Application of Long Short-term Memory Based Neural Network for Classification of Customer Behavior.

    Licheng Zhao, Yi Zuo, Katsutoshi Yada, Meijun Liu

    2021 IEEE International Conference on Systems, Man, and Cybernetics(SMC)   994 - 999   2021

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    Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/SMC52423.2021.9658703

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    Other Link: https://dblp.uni-trier.de/db/conf/smc/smc2021.html#ZhaoZYL21

  • Short-term Impact of Item-based Loyalty Program on Customer Purchase Behaviors Reviewed

    Bo Wu, Yi Sun, Katsutoshi Yada

    The Review of Socionetwork Strategies   2020.8

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    Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1007/s12626-020-00062-5

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    Other Link: http://link.springer.com/article/10.1007/s12626-020-00062-5/fulltext.html

  • Duration of Price Promotion and Retail Profit: An In-depth Study Based on Point-of-Sale Data Reviewed

    李 振, 善如 悠介, 矢田 勝俊

    Journal of Retailing and Consumer Services   accepted   2020

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  • How Shoppers Walk and Shop in a Supermarket.

    Katsutoshi Yada, Ken Ishibashi, Taku Ohashi, Danhua Wang, Shusaku Tsumoto

    114 - 118   2020

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    Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ICDMW51313.2020.00025

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    Other Link: https://dblp.uni-trier.de/db/conf/icdm/icdm2020w.html#YadaIOWT20

  • Study of the Effects of Visual Complexity and Consumer Experience on Visual Attention and Purchase Behavior through the Use of Eye Tracking Reviewed

    Ken Ishibashi, Chen Xiao, Katsutoshi Yada

    Proceedings of 2019 IEEE International Conference on Big Data (Big Data)   2664 - 2673   2019.12

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  • Analysis of Customer Segmentation Based on Broad Learning System

    Zhenyu Wang, Yi Zuo, Tieshan Li, C. L. Philip Chen, Katsutoshi Yada

    2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)   2019.12

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    Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/spac49953.2019.237870

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  • Assessment of Effect of POP on Purchase Behavior: Comparison of Effectiveness of Eye-racking Data and Shopping Path Data Reviewed

    Ken Ishibashi, Katsutoshi Yada

    Proceedings of 2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)   70 - 76   2019.10

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  • The impact of self-control on search behavior Reviewed

    Gu, H, YADA,Katsutoshi

    Procedia Computer Science, Elsevier   Volume 159   2137 - 2143   2019.9

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Analysis of social influence of shopping path by using ecological system of ants Reviewed

    Ken Ishibashi, Katsutoshi Yada

    Procedia Computer Science   159   2162 - 2171   2019.9

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  • Analysis of social influence on in-storepurchase behavior by using ecological system of ants Reviewed

    Ken, Ishibashi, YADA,Katsutoshi

    Procedia Computer Science, Elsevier   Volume 159   2162 - 2172   2019.9

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  • How game users consume virtual currency: The relationship between consumed quantity, inventory, and elapsed time since last consumption in the mobile game world

    Yuta Kaneko, Katsutoshi Yada, Wataru Ihara, Ryunosuke Odagiri

    IEEE International Conference on Data Mining Workshops, ICDMW   2018-   848 - 855   2019.2

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE Computer Society  

    DOI: 10.1109/ICDMW.2018.00125

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  • Bayesian Hidden Markov Model for Evaluating the Influence of In-Store Stationary Time of Customers on Their Purchase Behavior

    Yuta Kaneko, Katsutoshi Yada

    Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018   142 - 148   2018.12

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Institute of Electrical and Electronics Engineers Inc.  

    DOI: 10.1109/APWConCSE.2018.00031

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  • The Short-Term Impact of an Item-Based Loyalty Program Reviewed

    K. Yada, Y. Sun, B. Wu

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)   pp1842-1847   2018.10

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  • A framework of ASP for shopping path analysis Reviewed

    K. Yada, K. Ichikawa, K. Takai, K. Miayazaki

    Proc. of the 4th Asia-Pacific World Congress on Computer Science and Engineering 2017   pp.49-54   49 - 54   2018.10

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    DOI: 10.1109/APWConCSE.2017.00017

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  • An Empirical Study of the Relationship Among Self-Control, Price Promotions and Consumer Purchase Behavior Reviewed

    X. Zhong, K. Ishibashi, K. Yada

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)   pp1863-1868   2018.10

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  • Application of Network Analysis Techniques for Customer In-store Behavior in Supermarket Reviewed

    Y. Zuo, K. Yada, T. Li, P. Chen

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)   pp1857-1862   2018.10

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    Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/smc.2018.00322

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  • 視線追跡データを用いた消費者の店舗内購買行動の分析 Reviewed

    Y. Kaneko, K. Ishibashi, K. Yada

    経営情報学会 PACIS2018全国研究発表大会要旨集   pp103-106   2018.8

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  • 店舗内の時系列な行動が購買行為に与える効果に関する研究 Reviewed

    K. Ishibashi, K. Miayazaki, K. Yada

    オペレーションズ・リサーチ   Vol 62 pp789-794 ( 12 )   789 - 794   2017.12

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    Language:Japanese   Publisher:日本オペレーションズ・リサーチ学会 ; 1956-  

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  • The Effect of Crowding on Visit Ratio at an Product Area: Based on RFID Data in a Japanese Supermarket Reviewed

    B. Wu, K.Yada

    Proc. APWConCSE2017 (4th Asia-Pacific World Congress on Computer Science and Engineering)   2017.12

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  • スケールの階層性から探るスーパーマーケットの消費者行動

    Y. Kaneko, K. Yada

    オペレーションズ・リサーチ   Vol 62 pp807-814 ( 12 )   807 - 814   2017.12

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    Language:Japanese   Publisher:日本オペレーションズ・リサーチ学会 ; 1956-  

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  • ベイジアンネットワークを用いた消費者行動モデルの構築実験 Reviewed

    Y. Zuo, K. Yada

    オペレーションズ・リサーチ   Vol 62 pp795-800 ( 12 )   795 - 800   2017.12

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    Language:Japanese   Publisher:日本オペレーションズ・リサーチ学会 ; 1956-  

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  • A Framework of Recommendation System Based on In-store Behavior Reviewed

    Wai Tik So, K. Yada

    Proceedings of the 4th Multidisciplinary International Social Networks Conference,   pp1-4   2017.7

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  • Prediction of Consumer Purchasing in a Grocery Store Using Machine Learning Techniques Reviewed

    Yi Zuo, Katsutoshi Yada, A.B.M. Shawkat Ali

    Proceedings - Asia-Pacific World Congress on Computer Science and Engineering 2016 and Asia-Pacific World Congress on Engineering 2016, APWC on CSE/APWCE 2016   18 - 25   2017.6

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Institute of Electrical and Electronics Engineers Inc.  

    DOI: 10.1109/APWC-on-CSE.2016.015

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  • The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship

    Yuta Kaneko, Shinya Miyazaki, Katsutoshi Yada

    Procedia Computer Science   112   1845 - 1854   2017

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Elsevier B.V.  

    DOI: 10.1016/j.procs.2017.08.225

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  • Model selection for financial statement analysis: Comparison of models developed by using data mining technique Reviewed

    K. Ishibashi, T. Iwasaki, S. Otomasa, K. Yada

    Proceedings of IEEE International Conference on System, Man, and Cybernetics   pp81-86   2017

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  • Do Sales Promotions Affect Dynamic Changes in Sales Outcomes: Estimation of Dynamic State of Product Sales Reviewed

    K. Yada, Y. Kaneko

    In Proceedings of the 4th Asia Pacific World Congress on Computer Science and Engineering 2017   pp1-8   2017

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  • Does the Existence of Private-Label Brands Really Impede National Brands Sales? Empirical Evidence Based on POS Data Reviewed

    Z. Li, K. Yada

    Proceedings of 2016,3rd International Conference of Asian Marketing Associations   pp. 1-17   2016.10

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  • Complementary Relationship between Private Brands and National Brands: Empirical Evidence Based on POS Data Reviewed

    Z. Li, K. Yada

    Proceedings of 2016 ,38th ISMS Marketing Science Conference,   pp. 31-43   2016.6

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  • Shop area visit ratio, stay time and sales outcomes in depth analysis based on RFID data Reviewed

    Z. Li, K. Ishibashi, K. Takai, K. Yada

    Proc. of the 3rd Asia-Pacific World Congress on Computer Science and Engineering 2016   pp.1-7   2016.1

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  • Model selection for financial statement analysis: Variable selection with data mining technique

    Ken Ishibashi, Takuya Iwasaki, Shota Otomasa, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016   96   1681 - 1690   2016

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2016.08.216

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  • Vehicle Ownership and Economic Development Reviewed

    Z. Li, K. Ishibashi, Y. Kaneko, K. Miayazaki, H. Shioji, K. Yada

    Proc. of 3rd Asia-Pacific World Congress on Computer Science and Engineering   pp171-180   2016

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  • A Deep Learning Approach for the Prediction of Retail Store Sales

    Yuta Kaneko, Katsutoshi Yada

    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)   pp531-537   531 - 537   2016

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ICDMW.2016.154

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  • Clustering of customer shopping paths in Japanese grocery stores

    Natsuki Sano, Reo Tsutsui, Katsutoshi Yada, Tomomichi Suzuki

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016   96   1314 - 1322   2016

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2016.08.176

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  • Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket

    Yuta Kaneko, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016   96   1764 - 1771   2016

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    DOI: 10.1016/j.procs.2016.08.225

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  • Using Statistical Learning Theory for Purchase Behavior Prediction via Direct Observation of In-store Behavior Reviewed

    Y. Zuo, K. Yada

    Proc. of the 2nd Asia-Pacific World Congress on Computer Science and Engineering 2015   pp.1-6   2015.1

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  • Recommendation system for grocery store considering data sparsity

    Natsuki Sano, Natsumi Machino, Katsutoshi Yada, Tomomichi Suzuki

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015   60   1406 - 1413   2015

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2015.08.216

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  • Visualization System for Shopping Path

    Yuta Kaneko, Shinya Miyazaki, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015   60   1772 - 1779   2015

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2015.08.287

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  • Verification of effect on next purchase when many vice category products are brought

    Ken Ishibashi, Kei Miyazaki, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015   60   1780 - 1787   2015

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2015.08.288

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  • A Bayesian network approach for predicting purchase behavior via direct observation of in-store behavior Reviewed

    Yi Zuo, Katsutoshi Yada, Eisuke Kita

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9505   61 - 75   2015

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Springer Verlag  

    DOI: 10.1007/978-3-319-28379-1_5

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  • Why Do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion Reviewed

    Zhen Li, Katsutoshi Yada

    2015 IEEE International Conference on Data Mining Workshop (ICDMW)   328 - 335   2015

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ICDMW.2015.56

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  • Evaluation of price elasticity and brand loyalty in milk products

    Natsuki Sano, Syusuke Tamura, Katsutoshi Yada, Tomomichi Suzuki

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014   35   1482 - 1487   2014

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    DOI: 10.1016/j.procs.2014.08.213

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  • Using Bayesian Network for Purchase Behavior Prediction from RFID Data

    Yi Zuo, Katsutoshi Yada

    2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)   pp.2262-2267   2262 - 2267   2014

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  • Category Evaluation Method for Business Intelligence Using a Hierarchical Bayes Model

    Natsuki Sano, Katsutoshi Yada, Tomomichi Suzuki

    2014 IEEE 13TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI-CC)   pp.400- 407   400 - 407   2014

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  • Consumer purchasing behavior extraction using statistical learning theory

    Yi Zuo, A. B. M. Shawkat Ali, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014   35   1464 - 1473   2014

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1016/j.procs.2014.08.209

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  • Determining the Share of Product Categories on Discount Flyers Based on the Interaction Effect between Bargain Scale and Sales Area

    Natsuki Sano, Katsutoshi Yada

    PROCEEDINGS OF THE 2013 12TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI CC 2013)   pp.315-319   315 - 319   2013

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  • Application of Bayesian Network Sheds Light on Purchase Decision Process basing on RFID Technology Reviewed

    Yi Zuo, Katsutoshi Yada

    2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)   242 - 249   2013

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ICDMW.2013.68

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  • Customer behavior modelling using radio frequency identification data and the hidden markov model

    Katsutoshi Yada, Natsuki Sano

    Annual SRII Global Conference, SRII   pp.509-514   509 - 514   2012

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    DOI: 10.1109/SRII.2012.63

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  • An Examination of the Impact of Neurophysiologic and Environmental Variables on Shopping Behavior of Customers in a Grocery Store in Japan

    Marina Kholod, Katsutoshi Yada

    ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS   243   2099 - 2103   2012

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.3233/978-1-61499-105-2-2099

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  • The Influence of Sales Areas and Bargain Sales on Customer Behavior in the Grocery Store

    Natsuki Sano, Katsutoshi Yada

    ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS   243   2104 - 2113   2012

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.3233/978-1-61499-105-2-2104

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  • International workshop on innovating service systems

    Yukio Ohsawa, Katsutoshi Yada

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6797 LNAI   232   2011.11

  • String analysis technique for shopping path in a supermarket

    Katsutoshi Yada

    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS   36 ( 3 )   385 - 402   2011.6

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s10844-009-0113-8

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  • Clockwise and anti-clockwise directions of customer orientation in a supermarket: Evidence from RFID data

    Marina Kholod, Keiji Takai, Katsutoshi Yada

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6883 ( 3 )   304 - 309   2011

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1007/978-3-642-23854-3_32

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  • Analysis of residence time in shopping using RFID Data an application of the Kernel density estimation to RFID - An application of the Kernel density estimation to RFID

    Shinya Miyazaki, Takashi Washio, Katsutoshi Yada

    Proceedings - IEEE International Conference on Data Mining, ICDM   pp.1170-1176   1170 - 1176   2011

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ICDMW.2011.30

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  • Extraction of customer potential value using unpurchased items and in-store movements

    Takanobu Nakahara, Katsutoshi Yada

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6883 ( 3 )   295 - 303   2011

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    DOI: 10.1007/978-3-642-23854-3_31

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  • Shopping path modeling using a transition matrix compression algorithm

    Xiaojun Ding, Katsutoshi Yada

    Studies in Computational Intelligence   369   329 - 339   2011

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-642-22732-5_27

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  • Decision support system for policy making during a financial crisis

    Katsutoshi Yada, Kohei Ichikawa

    Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011   pp.756-760   756 - 760   2011

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    DOI: 10.1109/GRC.2011.6122693

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  • Evaluation of the Shopping Path to Distinguish Customers Using a RFID Dataset

    T. Nakahara, K. Yada

    International Journal of Organizational and Collective Intelligence   Vol.2, No.4, pp.1-14   2011

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  • Finding Latent Groups of Customers via the Poisson Mixture Regression Model

    Keiji Takai, Katsutoshi Yada

    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)   pp.3603-3608   3603 - 3608   2011

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  • The Influence of Shopping Path Length on Purchase Behavior in Grocery Store

    Marina Kholod, Takanobu Nakahara, Haruka Azuma, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT III   6278   273 - +   2010

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  • Relation between Stay-Time and Purchase Probability Based on RFID Data in a Japanese Supermarket

    Keiji Takai, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT III   6278   254 - 263   2010

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  • Extracting Promising Sequential Patterns from RFID Data Using the LCM Sequence

    Takanobu Nakahara, Takeaki Uno, Katsutoshi Yada

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT III   6278   244 - +   2010

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  • Development of data mining platform MUSASHI towards service computing

    Kohei Ichikawa, Katsutoshi Yada, Takashi Washio

    Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010   pp.235-240   235 - 240   2010

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    DOI: 10.1109/GrC.2010.168

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  • Modeling deposit outflow in financial crises: application to branch management and customer relationship management

    K. Yada, T. Washio, Y. Ukai

    International Journal of Advanced Intelligence Paradigms   Vol.2, No.2/3, pp.254-270 ( 2/3 )   254 - 254   2010

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    DOI: 10.1504/ijaip.2010.030538

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  • Modelling deposit outflow in financial crises: Application to branch management and customer relationship management

    Katsutoshi Yada, Takashi Washio, Yasuharu Ukai

    International Journal of Advanced Intelligence Paradigms   2 ( 2-3 )   254 - 270   2010

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    This paper aims to propose models for deposit outflows caused by various financial crises, and to present a framework of knowledge discovery required for bank management to create branch strategies and customer strategies for financial crises. Based on the models proposed in this paper, we understand effects on consumer behaviour caused by various financial crises (computer system failure, scandal, natural disaster, etc.), and estimate the total amount of deposit outflows, based on consumer behaviour data acquired through questionnaires to consumers. A bank can create appropriate branch strategies and customer strategies according to the knowledge obtained from these models. Copyright © 2010 Inderscience Enterprises Ltd.

    DOI: 10.1504/IJAIP.2010.030538

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  • Preface to data mining for services workshop

    Katsutoshi Yada

    Proceedings - IEEE International Conference on Data Mining, ICDM   42   2010

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    DOI: 10.1109/ICDMW.2010.58

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  • Advertising Carryover Effects and Optimal Budget Allocation Reviewed

    YADA Katsutoshi, K. Ichikawa, N. Nakachi, T. Washio

    Proc. of KES 2009   LNAI 5712, pp.270-277   2009.9

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  • Advertising Carryover Effects and Optimal Budget Allocation

    K. Ichikawa, K.Yada, N. Nakachi, T. Washio

    Proc. of KES 2009, LNAI 5712   pp.270-277   2009.9

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  • Special issue on chance discovery - Discovery of significant events for decision making

    Yukio Ohsawa, Katsutoshi Yada

    INFORMATION SCIENCES   179 ( 11 )   1567 - 1569   2009.5

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  • Optimization of Budget Allocation for TV Advertising Reviewed

    Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, Takashi Washio

    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II, PROCEEDINGS   5712   270 - +   2009

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    DOI: 10.1007/978-3-642-04592-9_34

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  • Modeling Bank Runs in Financial Crises Reviewed

    K.Yada, T.Washio, Y.Ukai, H.Nagaoka

    The Review of Socionetwork Strategies   Vol.3, No.1, pp.19-31 ( 2 )   19 - 31   2009

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  • Data Mining for Design and Marketing Reviewed

    YADA Katsutoshi, Y.Ohsawa (eds.), K.Yada (eds.)

    CRC Press   2009

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  • A bank run model in financial crises

    Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS   5178   703 - +   2008

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  • Character string analysis and customer path in stream data

    Katsutoshi Yada

    Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008   pp.829-836   829 - 836   2008

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    DOI: 10.1109/ICDMW.2008.41

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  • Pricing System for Seeking Optimal Prices in the Diet Foods Market

    Kosuke Ohno, Katsutoshi Yada

    2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6   pp.3514-3518   3513 - 3517   2008

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  • CODIRO: A new system for obtaining data concerning consumer behavior based on data factors of high interest determined by the analyst Reviewed

    Katsutoshi Yada

    SOFT COMPUTING   11 ( 8 )   811 - 817   2007.6

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    DOI: 10.1007/s00500-006-0123-1

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  • Data Mining Technique for Gene Analysis Makes Profits in the Supermarket Reviewed

    YADA Katsutoshi, Y. Hamuro, N. Katoh

    2007 AMA Winter Educators' Conference Proceedings   pp. 122-129   2007.2

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  • Lessons learned from a case study on process data management

    Katsutoshi Yada

    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8   pp.3530-3534   3797 - 3801   2007

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  • Business Application and Risk of Data Mining Reviewed

    YADA Katsutoshi, D. Naito, K. Ohno

    Proc. of International Workshop on Risk Informatics (RI2007)   pp.21-29   2007

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  • Analysis on a relation between enterprise profit and financial state by using data mining techniques

    Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada

    NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE   4384   305 - 316   2007

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  • Knowledge discovery from click stream data and effective site management

    Katsutoshi Yada, Kosuke Ohno

    NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE   4384   360 - 373   2007

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  • 説得プロセス分析の枠組みと債権回収会話ログへの適用 Reviewed

    矢田 勝俊, 砂山 渡

    人工知能学会論文誌   Vol.22, No.2, pp.239-247   2007

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  • Analysis framework for persuading process and an application to debt-collecting conversation logs Reviewed

    Wataru Sunayama, Katsutoshi Yada

    Transactions of the Japanese Society for Artificial Intelligence   22 ( 2 )   239 - 247   2007

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    DOI: 10.1527/tjsai.22.239

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  • 店舗利益最大化のための最適プライシングシステム―PRISMの理論と実践―

    矢田 勝俊

    『情報技術の産業応用フロンティア』研究双書, 関西大学経済・政治研究所   第141冊, pp.121-146   2006

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  • Knowledge discovery from the structure of persuasive communication

    Katsutoshi Yada, Naohiro Matsumura

    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS   pp.1741-1746   1741 - +   2006

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  • PRISMを用いた店舗利益最大化のためのプライシング戦略

    矢田 勝俊

    オフィス・オートメーション学会誌(A)   Vol.26, No.3, pp.91-97   2006

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  • Does Web Log Data Reveal Consumer Behavior? The Case of Analysis for an Internet Mall Reviewed

    YADA Katsutoshi, N.Matsumura, K.Ohno, H.Tamura

    Proc. of the Annual Conference of the Academy of Marketing Science, Academy of Marketing Science   Vol.24, pp.256-262   2006

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  • The practice of an optimal pricing strategy for maximizing store profits using PRISM

    Katsutoshi Yada, Kosuke Ohno

    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS   pp.2121-2126   2121 - +   2006

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  • The river-rafting system for knowledge discovery related to persuasion process conversation logs

    Wataru Sunayama, Katsutoshi Yada

    ICDM 2006: Sixth IEEE International Conference on Data Mining, Workshops   pp. 575-579   575 - 579   2006

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  • The structure of scenario communication and chance discovery

    Katsutoshi Yada

    Studies in Computational Intelligence   30   21 - 36   2006

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    DOI: 10.1007/978-3-540-34353-0_2

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  • A Data Mining for Graph Structure Data Helps to Discover New Knowledge in Consumer Behavior and Makes Profits Reviewed

    YADA Katsutoshi, H.Motoda, T.Washio

    Proc. CD of AMS International Retailing Conference 2005, pp.1-17   2005.6

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  • Active Mining for Structured Data Reviewed

    MOTODA Hiroshi, HO Tu Bao, WASHIO Takashi, YADA Katsutoshi, YOSHIDA Tetsuya, OHARA Kouzou, Hiroshi Motoda, Tu Bao Ho, Takashi Washio, Katsutoshi Yada, Tetsuya Yoshida, Kouzou Ohara, The Institute of Scientific and Industrial Research Osaka University, School of Knowledge Science Japan Advanced Institute of Science and Technology, The Institute of Scientific and Industrial Research Osaka University, Faculty of Commerce Kansai University, Graduate School of Information Science and Technology Hokkaido University, The Institute of Scientific and Industrial Research Osaka University

    Journal of Japanese Society for Artificial Intelligence   第20巻2号 ( 2 )   172 - 179   2005.3

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    Grant-in-Aid for Scientific Research on Priority Areas

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  • Chance Discovery from Consumer Research Using KeyGraph

    YADA Katsutoshi, T.Araki, S.Hamada, N.Matsumura, S.Niwase, Y.Ohsawa

    Readings in Chance Discovery, Advanced Knowledge International   2005.2

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  • Data mining oriented CRM systems based on MUSASHI: C-MUSASHI

    K Yada, Y Hamuro, N Katoh, T Washio, Fusamoto, I, D Fujishima, T Ikeda

    ACTIVE MINING   3430   152 - 173   2005

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  • CODIRO: A new system for obtaining data concerning consumer behavior based on data factors of high interest determined by the analyst

    K Yada

    Soft Computing as Transdisciplinary Science and Technology   Vol.11, No.8, pp. 811-817   511 - 520   2005

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  • Optimum pricing strategy for maximization of profits and chance discovery

    K Yamamoto, K Yada

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS   3681   1160 - 1166   2005

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  • The future direction of new computing environment for exabyte data in the business world

    K Yada, Y Hamuro, N Katoh, K Kishiya

    2005 SYMPOSIUM ON APPLICATIONS AND THE INTERNET WORKSHOPS, PROCEEDINGS   316 - 319   2005

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  • Consumer behavior analysis by graph mining technique

    K Yada, H Motoda, T Washio, A Miyawaki

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS   3214   800 - 806   2004

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    In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis for sequential purchase pattern is reviewed. Then we propose to represent the complicated customer purchase behavior by a directed graph retaining temporal information in a purchase sequence and apply a graph mining technique to analyze the frequent occurring patterns. In this paper we demonstrate through the case of healthy cooking oil analysis how graph mining technology helps us understand complex purchase behavior.

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  • Knowledge Discovery Process and Introduction of Domain Knowledge

    YADA Katsutoshi

    IRM Press   pp.86-98   2004

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  • Business application for sales transaction data by using genome analysis technology

    N Katoh, K Yada, Y Hamuro

    DISCOVERY SCIENCE, PROCEEDINGS   2843   208 - 219   2003

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  • ビジネスにおけるチャンス発見の考え方

    矢田 勝俊

    東京電機大学出版局・チャンス発見の情報技術   29-42   2003

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  • Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior Reviewed

    YADA Katsutoshi, Yukinobu Hamuro, Naoki Katoh, Eddie Ip

    Springer, Information Fusion in Data Mining, Studies in Fuzziness and Soft Computing   Vol.123, pp.161-187   2003

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  • Knowledge discovery process from sales data

    K Yada

    INFORMATION TECHNOLOGY AND ORGANIZATIONS: TRENDS, ISSUES, CHALLENGES AND SOLUTIONS, VOLS 1 AND 2   pp.684-687   684 - 687   2003

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  • MUSASHI:Flexible and Efficient Data Preprocessing Tool for KDD based on XML Reviewed

    YADA Katsutoshi

    Proceedings of the First International Workshop on Data Cleaning and Preprocessing   pp.38-49   2002.12

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  • A Neural Network Application to Identify High-Value Customer for a Large Retail Store in Japan

    YADA Katsutoshi

    Idea Group Publishing   55頁-69頁   55 - 69   2002

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  • Effective coupon distribution method that used client data

    YADA Katsutoshi

    Tokyo economic information publication   91頁-106頁   2001

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  • A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History Reviewed

    YADA Katsutoshi

    Springer-Verlag, Progresses in Discovery Science   pp.565-575   2001

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  • Early detection of the ROYAL customer from a new client

    YADA Katsutoshi

    ESTRELA   89号10頁-17頁   2001

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  • Discovering association strength among brand loyalties from purchase history

    Y Hamuro, N Katoh, K Yada

    ISIE 2001: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS PROCEEDINGS, VOLS I-III   114頁-117頁   114 - 117   2001

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  • Knowledge discovery from management data Reviewed

    YADA Katsutoshi

    National economy magazine   第184巻第1号   2001

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  • A Data Mining System for Managing Customer Relationship

    YADA Katsutoshi

    101頁-105頁   2000.8

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  • The Discovery of Customer Loyalty from Newcomers

    YADA Katsutoshi

    185頁-189頁   2000.6

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  • Discovering Interpretable Rules that Explain Customer Brand Choice Behavior

    YADA Katsutoshi

    INFORMS-KORMS Seoul 2000   561頁-568頁   561 - 568   2000.6

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  • Data mining from the purchase record of a client

    YADA Katsutoshi

    169頁-178頁   167 - 178   2000

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  • The discovery of business chance from customer knowledge Reviewed

    K Yada, EH Ip, Y Hamuro, N Katoh

    IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4   3   1638 - 1643   2000

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  • Discovering interpretable rules that explain customers’ brand choice behavior

    Yukinobu Hamuro, Naoki Katoh, Katsutoshi Yada

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   1967   263 - 266   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Springer Verlag  

    DOI: 10.1007/3-540-44418-1_26

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  • Approximation of optimal two-dimensional association rules for categorical attributes using semidefinite programming

    K Fujisawa, Y Hamuro, N Katoh, T Tokuyama, K Yada

    DISCOVERY SCIENCE, PROCEEDINGS   1721   148 - 159   1999

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  • Mining pharmacy data helps to make profits

    Y Hamuro, N Katoh, Y Matsuda, K Yada

    DATA MINING AND KNOWLEDGE DISCOVERY   2 ( 4 )   391 - 398   1998.12

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  • Data mining oriented system for business applications

    Y Hamuro, N Katoh, K Yada

    DISCOVERY SCIENCE   1532   441 - 442   1998

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  • Customer Profiling Makes Profits : How did a Japanese firm achieve competitive advantage through the knowledge creation? Reviewed

    YADA Katsutoshi, Naoki Katoh, Yukinobu Hamuro, Yasuyuki Matsuda

    The Practical Application of Knowledge Management 98   pp.57-67. ( 109 )   247 - 256   1998

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  • The Future Direction of Data Mining Research

    YADA Katsutoshi

    JOURNAL OF OSAKA SANGYO UNIVERSITY Social Sciences   108号207頁-219頁   1998

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  • Information Systems and Organizational Capabilities Reviewed

    YADA Katsutoshi

    Annual Report on Economics and Business Administration   46号105頁-158頁   105 - 158   1996

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Books

  • Advances in Artificial Intelligence Reviewed

    YADA,K, Ohsawa, Y, Ito, T, Takama, Y, Sato-Shimokawara, E, Abe, A, Mori, J, Matsumura, N( Role: Joint editor)

    Springer Nature  2020 

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  • 岩波データサイエンス vol.4

    矢田勝俊

    岩波書店  2016 

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  • Data Mining for Service

    K. Yada

    Springer-Verlag  2014 

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  • MUSASHI: System for Knowledge Discovery in Large Business Data

    YADA Katsutoshi, Yukinobu Hamuro, Naoki Katoh, Takashi Washio( Role: Joint author)

    Journal of the Japanese Society for Artifical Intelligence  2005.1 

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  • データマイニングと組織能力

    矢田 勝俊( Role: Sole author)

    多賀出版  2004 

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  • チャンス発見の情報技術

    矢田 勝俊, 大澤幸生( Role: Joint author)

    東京電機大学出版局  2003 

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  • データマイニング技術とビジネス応用

    矢田 勝俊, 原田保編著( Role: Sole author)

    日科技連, カスタマーマイニング  2003 

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Presentations

  • The impact of self-control on search behavior

    YADA,Katsutoshi

    23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems  2019.9 

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    Venue:Budapest, Hungary  

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  • Assessment of Effect of POP on Purchase Behavior: Comparison of Effectiveness of Eye-tracking Data and Shopping Path Data

    K. Ishibashi, K. Yada

    The 5th Asia-Pacific World Congress on Computer Science and Engineering 2018(APWC on CSE 2018)  2018.12 

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    Venue:Fiji  

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  • Bayesian Hidden Markov Model for Evaluating the Influence of In-Store Stationary Time of Customers on their Purchase Behavior

    Y. Kaneko, K. Yada

    The 5th Asia-Pacific World Congress on Computer Science and Engineering 2018(APWC on CSE 2018)  2018.12 

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    Venue:Fiji  

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  • How Game Users Consume Virtual Currency: The Relationship Between Consumed Quantity, Inventory, and Elapsed Time since Last Consumption in the Mobile Game World

    Y. Kaneko, K. Yada, W. Ihara, R. Odagiri

    ICDM DMS2018  2018.11 

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    Event date: 2018.11

    Venue:Singapore  

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  • An Empirical Study of the Relationship Among Self-Control, Price Promotions and Consumer Purchase Behavior

    X. Zhong, K. Ishibashi, K. Yada

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  2018.10 

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    Event date: 2018.10

    Venue:Miyazaki Japan  

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  • The Short-Term Impact of an Item-Based Loyalty Program

    K. Yada, Y. Sun, B. Wu

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  2018.10 

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    Venue:Miyazaki Japan  

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  • Application of Network Analysis Techniques for Customer In-store Behavior in Supermarket

    Y. Zuo, K. Yada, T. Li, P. Chen

    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  2018.10 

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    Venue:Miyazaki Japan  

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  • 視線追跡データを用いた消費者の店舗内購買行動の分析

    Y. Kaneko, K. Ishibashi, K. Yada

    2018.6 

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  • センサー、ビッグデータ、そしてマーケティング

    矢田勝俊

    IMI(マス・フォア・インダストリ研究所)  2018.2 

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    Event date: 2018.2

    Venue:福岡  

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  • データ分析とマーケティングモデルの発展

    K. Yada

    2017.12 

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    Venue:コープさっぽろ, 北海道  

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  • A Framework of ASP for shopping path analysis

    K. Yada, K. Ichikawa, K. Takai, K. Miayazaki

    The 4th Asia-Pacific World Congress on Computer Science and Engineering 2017  2017.12 

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    Venue:Mana Island Resort and Spa, Fiji  

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  • The Effect of Crowding on Visit Ratio at an Product Area: Based on RFID Data in a Japanese Supermarket

    B. Wu, K. Yada

    The 4th Asia-Pacific World Congress on Computer Science and Engineering 2017  2017.12 

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    Venue:Mana Island Resort and Spa, Fiji  

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  • Do Sales Promotions Affect Dynamic Changes in Sales Outcomes: Estimation of Dynamic State of Product Sales

    Y. Kaneko, K. Yada

    The 4th Asia-Pacific World Congress on Computer Science and Engineering 2017  2017.12 

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    Venue:Mana Island Resort and Spa, Fiji  

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  • Model selection for financial statement analysis: Comparison of models developed by using data mining technique

    K. Ishibashi, T. Iwasaki, S. Otomasa, K. Yada

    IEEE International Conference on System, Man, and Cybernetics  2017.10 

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    Event date: 2017.10

    Venue:Banff, Canada  

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  • データマイニングのビジネス応用における諸問題

    K. Yada

    2017.9 

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    Event date: 2017.9

    Venue:日本オペレーションズ・リサーチ学会, 大阪  

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  • 境界を越えるデータサイエンスとマーケティングモデル

    K. Yada

    2017.9 

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    Event date: 2017.9

    Venue:2017年度第3回オギノFSP研究会, 山梨  

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  • The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship

    Y. Kaneko, S. Miyazaki, K. Yada

    21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems  2017.9 

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    Event date: 2017.9

    Venue:Marseille, France  

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  • Marketing and the Uses of Big Data” Asia Pacific for Computing and Information Technology

    K. Yada

    2017.7 

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    Event date: 2017.7

    Venue:APSCIT2017 Hokkaido Japan  

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  • A Framework of ASP for shopping path analysis

    Wai Tik So, K. Yada

    The 4th Multidisciplinary International Social Networks Conference  2017.7 

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    Event date: 2017.7

    Venue:Bangkok, Thailand  

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  • 流通業におけるデータサイエンスとのつきあい方

    K. Yada

    2017.5 

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    Event date: 2017.5

    Venue:日本流通産業㈱, 大阪  

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  • データ利活用の魅力と落とし穴

    K. Yada

    2017.3 

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    Event date: 2017.3

    Venue:ジャストシステムセミナー, 大阪  

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  • A Deep Learning Approach for the Prediction of Retail Store Sales

    Y. Kaneko, K. Yada

    2016 IEEE 16th International Conference on Data Mining Workshops  2016.12 

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    Event date: 2016.12

    Venue:World Trade Center Barcelona, Spain  

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  • Prediction of Consumer Purchasing in a Grocery Store Using Machine Learning Techniques

    Y. Zuo, K. Yada, A B M Shawkat Ali

    2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2016)  2016.12 

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    Event date: 2016.12

    Venue:Sofitel Fiji Resort & Spa, Denarau Island, Fiji  

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  • Vehicle Ownership and Economic Development

    Z. Li, K. Ishibashi, Y. Kaneko, K. Miayazaki, H. Shioji, K. Yada

    2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2016)  2016.12 

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    Event date: 2016.12

    Venue:Sofitel Fiji Resort & Spa, Denarau Island, Fiji  

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  • Does the Existence of Private-Label Brands Really Impede National Brands Sales? Empirical Evidence Based on POS Data

    Z. Li, K. Yada

    3rd International Conference of Asian Marketing Associations  2016.10 

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    Event date: 2016.10

    Venue:Beijing, China  

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  • Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket

    Y. Kaneko, K. Yada

    20th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES2016  2016.9 

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    Event date: 2016.9

    Venue:York, United Kingdom  

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  • Data mining for marketing in the real world

    K. Yada

    2016.8 

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    Event date: 2016.8

    Venue:MISNC 2016, New Jersey USA  

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  • Impact of Analog-to-digital Conversion on Predictive Performance: A Case Study of Bayesian Network vs. Support Vector Machine in Purchase Behavior Prediction

    Y. Zuo, K. Yada, E. Kita

    2016 World Congress on Computational Mechanics, Seoul Korea  2016.7 

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    Event date: 2016.7

    Venue:Seoul, Korea  

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  • データマイニングの応用

    K. Yada

    2016.6 

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    Event date: 2016.6

    Venue:第20回日本医療情報学会春季学術大会,島根県松江市  

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  • Complementary Relationship between Private Brands and National Brands: Empirical Evidence Based on POS Data

    Z. Li, K. Yada

    38th ISMS Marketing Science Conference  2016.6 

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    Event date: 2016.6

    Venue:Shanghai, China  

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  • Self-control and consumer behavior

    S. Shibasaki, K. Takai, K. Yada

    International Marketing Trends Conference  2016.1 

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    Event date: 2016.1

    Venue:Venice, Italy  

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  • Human Behavior and Marketing

    K. Yada

    IEEE Asia-Pacific World Congress on Computer Science and Engineering 2015  2015.12 

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    Event date: 2015.12

    Venue:Fiji  

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  • Why Do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion

    Z. Li, K. Yada

    2015 IEEE International Workshop on Data Mining for Service  2015.11 

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    Event date: 2015.11

    Venue:Atlantic City, NJ, USA  

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  • ビジネスにおけるデータ活用の現状と課題

    矢田勝俊

    オペレーションズリサーチ学会シンポジウム  2015.9 

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    Event date: 2015.9

    Venue:福岡  

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  • ビジネスにおけるセンサーデータとデータサイエンスの最前線

    矢田勝俊

    第32回スーパーコンピューティング・セミナー  2015.9 

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    Event date: 2015.9

    Venue:東京  

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  • Verification of effect on next purchase when many vice category products are brought

    K. Ishibashi, K. Miayazaki, K. Yada

    19th International Conference on Knowledge-Based and Intellegent Information & Engineering Systems - KES 2015  2015.9 

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    Event date: 2015.9

    Venue:Marina Bay Sands Hotel, Singapore  

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  • Visualization System for Shopping Path

    Y. Kaneko, K. Yada

    19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems - KES 2015  2015.9 

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    Event date: 2015.9

    Venue:Marina Bay SandsHotel, Singapore  

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  • バースト検知手法を用いたレジの混雑状況の特定

    矢田勝俊

    日本オペレーションズ・リサーチ学会2015年春季研究発表会  2015.3 

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    Event date: 2015.3

    Venue:東京  

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  • How Does Purchase of a Product Affect the Next Purchase?

    K. Yada

    14th International Marketing Trends Program Conference  2015.1 

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    Event date: 2015.1

    Venue:Paris, France  

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  • Big Data and Marketing

    K. Yada

    IEEE APWC on CSE 2014  2014.11 

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    Event date: 2014.11

    Venue:Nadi, Fiji  

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  • ビジネスにおけるビッグデータの利活用 -流通小売業の現場から-

    矢田勝俊

    CREST戦略的創造研究推進事業  2014.11 

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    Event date: 2014.11

    Venue:東京  

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  • Using Bayesian Network for Purchase Behavior Prediction from RFID Data

    Y. Zuo, K. Yada

    The 2014 IEEE International Conference on Systems, Man, and Cybernetics  2014.10 

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    Event date: 2014.10

    Venue:San Diego, CA, USA  

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  • Consumer Purchasing Behavior Extraction Using Statistical Learning Theory

    Y. Zuo, A B M Shawkat Ali, K. Yada

    18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems  2014.9 

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    Event date: 2014.9

    Venue:Gdynia, Poland  

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  • Category Evaluation Method for Business Intelligence Using a Hierarchical Bayes Model

    N. Sano, K. Yada, T. Suzuki

    13th IEEE International Conference on Cognitive Informatics & Cognitive Computing  2014.8 

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    Event date: 2014.8

    Venue:Singapore  

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  • 購買行動研究の最前線

    矢田勝俊

    オギノFSP研究会  2014.5 

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    Event date: 2014.5

    Venue:山梨  

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  • Determining the Share of Product Categories on Discount Flyers Based on the Interaction Effect between Bargain Scale and Sales Area

    N. Sano, K. Yada

    Proceedings of 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing  2013.7 

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    Event date: 2013.7

    Venue:New York, USA  

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  • Clockwise and Anti-clockwise Direction of Customer Orientation in a Supermarket: Evidence from RFID Data

    M. Kholod, K. Takai, K. Yada

    Proc. of KES 2011, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes In Artificial Intelligence(LNAI) 6883  2011.9 

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    Event date: 2011.9

    Venue:Kaiserslautern, Germany  

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  • A Framework of Shopping Path Research

    YADA,Katsutoshi

    2011.1 

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    Event date: 2011.1

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  • Relation between stay-time and purchase probability with RFID data in a Japanese supermarket

    Keiji Takai, Katsutoshi Yada

    Proceedings of KES 2010, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes In Artificial Intelligence (LNAI) 6278  2010 

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    Event date: 2010

    Venue:Cardiff, UK  

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  • Data Mining Application for Time-Series Data

    YADA Katsutoshi

    Joint Conference on Information Sciences 2007  2007.7 

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    Event date: 2007.7

    Keynote Speech

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  • Business Application and Risk of Data Mining

    YADA Katsutoshi

    International Workshop on Risk Informatics (RI2007)  2007.6 

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    Event date: 2007.6

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  • Data Mining Technique for Gene Analysis Makes Profits in the Supermarket

    YADA Katsutoshi

    2007 AMA Winter Educators’ Conference  2007.2 

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    Event date: 2007.2

    Venue:San Diego  

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  • The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs

    YADA Katsutoshi

    IEEE International Workshop on Data Mining for Design and Marketing, in conjunction with 6th IEEE International Conference on Data Mining  2006.12 

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    Event date: 2006.12

    Venue:Hong Kong  

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  • Knowledge Discovery from the Structure of Persuasive Communication

    YADA Katsutoshi

    2006 IEEE Conference on System, Man and Cybernetics  2006.11 

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    Event date: 2006.11

    Venue:Taipei  

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  • Knowledge Discovery from Click Stream Data and Effective Site Management

    YADA Katsutoshi

    International Workshop on Risk Mining 2006  2006.6 

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    Event date: 2006.6

    Venue:Tokyo  

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  • Analysis on a Relation between Enterprise Profit and Financial Sate by Using Data Mining Techniques

    YADA Katsutoshi

    International Workshop on Risk Mining 2006  2006.6 

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    Event date: 2006.6

    Venue:Tokyo  

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  • What Effect does a Crisis Have on Consumer Behavior?: The Example of a food Poisoning Incident in Japan

    YADA Katsutoshi, T.Arakin, D.Fujishima

    European Applied Business Research Conference 2004  2004.6 

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  • Crisis and Consumer Behavior

    FUJISHIMA Daisuke, ARAKI Takaharu, YADA Katsutoshi

    The 51st Artificial Intelligence Foundation Study Meeting  2003.1 

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    Event date: 2003.1

    In this paper we present the implication of risk management to analyze the situation of crisis in detail based on consumer behavior. We discuss about the case of milk poisoning in Japan to grasp the individual consumer behavior by making use of FSP data to discover new knowledge.

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  • Chance Discovery from Image of Consumer using Key Graph

    NIWASE Seiko, HAMADA Saori, ARAKI Takaharu, MATSUMURA Naohiro, OSAWA Takao, YADA Katsutoshi

    The 51st Aritificial Intelligence Foundation Study Meeting  2003.1 

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    Event date: 2003.1

    We present a methology to understand consumer behavior by constructing the research process so as to integrate qualitative and quantitative analysis. This paper briefly describes text mining process using KeyGraph for extracting key factors of drug store image.

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  • Customer Attrition Analysis in Supermarket

    YADA Katsutoshi

    International Business & Economic Research Conference 2003 (IBER 2003)  2003 

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    Event date: 2003

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  • データマイニングプロジェクトのマネジメント

    矢田 勝俊

    人工知能学会第18回AIシンポジウム  2003 

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    Event date: 2003

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  • 「各種入試合格者への入学前教育指導改善による英語力向上」成果報告書

    矢田 勝俊

    2021.8 

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  • Sensor Marketing and Data Mining Invited

    YADA,Katsutoshi

    KES 2019  2019.9 

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    Language:English   Presentation type:Oral presentation (keynote)  

    Venue:Budapest, Hungary  

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  • Data Mining Application for Time-Series Data

    YADA Katsutoshi

    Joint Conference on Information Sciences 2007  2007 

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Awards

  • 助成研究吉田秀雄賞 奨励賞

    2024.11   公益財団法人吉田秀雄記念事業財団   インフィード広告の有効性における広告表現とソーシャルメディアのマッチング効果 ~多様な実験データに基づく洞察~

    李振, 矢田勝俊, 高井啓二, 石橋健

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  • The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, Prizes for Science and Technology.

    2019.4   Minister of Education, Culture, Sports, Science and Technology   The promotion of data mining technology to analyze big data business marketing

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    Country:Japan

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  • The best paper for Japan Award

    2016   ICAMA 2016  

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  • IEEE SMC 2014 The best conference paper award, finalist

    2014   2014 IEEE Conference on System, Man and Cybernetics  

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  • 人工知能学会研究会優秀賞

    2011   人工知能学会  

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    Country:Japan

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  • マーケティング分析コンテスト 2010最優秀賞

    2011.1   野村総合研究所マーケティング分析コンテスト事務局  

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    Country:Japan

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  • マーケティング分析コンテスト 2010 最優秀賞

    2011.1   野村総合研究所マーケティング分析コンテスト事務局  

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    Country:Japan

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  • The Session Best Paper Award at SCIS & ISIS 2006

    2006.9   SCIS & ISIS 2006  

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    Country:Japan

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  • 著述賞

    2005.8   知能情報ファジィ学会  

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    Country:Japan

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  • 2003 International Development Award

    2003.8   Center for International Business Education and Research (CIBEAR), Marshall Business School  

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  • 人工知能学会研究会優秀賞

    2003.6   人工知能学会  

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    Country:Japan

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  • SPSS Open House研究奨励賞SPSS賞

    2002.10   SPSS Open House 事務局  

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    Country:Japan

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  • 平成七年度兼松フェローシップ大学院生研究奨励賞

    1995.8   神戸大学経済経営研究所  

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    Country:Japan

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Research Projects

  • A Study of Cognitive Processes in Investor Decision Making Using Eye Tracking

    Grant number:22H00888  2022.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\16640000 ( Direct Cost: \12800000 、 Indirect Cost:\3840000 )

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  • A study of the model of COVID-19 infection spread from the perspective of consumer behavior

    Grant number:21K18446  2021.7 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Research (Exploratory)

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    Grant amount:\6240000 ( Direct Cost: \4800000 、 Indirect Cost:\1440000 )

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  • パスデータの融合による研究フロンティアの創出

    Grant number:16H02034  2016.4 - 2021.3

    日本学術振興会  科学研究費助成事業  基盤研究(A)

    矢田 勝俊, 高井 啓二, 宮崎 慧, 石橋 健, 李 振, 里村 卓也, 金子 雄太, 中原 孝信, 左 毅, 市川 昊平

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    Grant amount:\38090000 ( Direct Cost: \29300000 、 Indirect Cost:\8790000 )

    多様なパスデータを用いた解析、モデル化を行うために、(1)消費者行動モデルの構築、(2)国際ワークショップの開催、(3)パスデータ融合の体系化に取り組み2019年度の計画通り研究を遂行することができた。
    (1)2018年度に実施した店舗実験で収集したパスデータをもとに、様々な消費者行動モデルを構築した。セルフコントロールが店内購買行為に与える時系列の影響についてモデル化に成功、また視線追跡を統合し、個人の異質性を前提とした確率モデルを提示することができた。
    (2)国際ワークショップの開催では、KES2019に併設する形で招待セッションを主催し、5本の発表を受入ながら、ブダペスト(ハンガリー)で行われた。顧客動線、視線追跡などの発表も含め、重要な意見の交換が行われた。そしてIEEEが主催する国際会議ICDMに併設する形で、Data mining for serviceという国際ワークショップを主催し、多くの発表を受入ながら、本提案の発表を行った。また、天野教授(ハーバード大学)やWedel教授(メリーランド大学)と議論しながら、体系化について貴重なアイデアを得ることができた。特にバースト検知手法を用いた混雑状況予測モデルについて、体系化が進み、論文化のめどをつけることができた。
    (3)体系化については、上述したような海外の研究者との議論を通して体系化のアイデアをまとめつつ、本提案チームの中で議論を深めることができた。ただし、3月に実施予定であった今期、最後の打合せが新型コロナウイルス感染症の感染拡大をうけて中止になった。

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  • Dynamic Modeling of Consumer Purchase Behavior: Based on Web Crawling Data

    Grant number:15H06747  2015.8 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Research Activity Start-up

    Li Zhen, ZHANG Jie, MA Yan, HUANG Lin, YADA Katsutoshi

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    Grant amount:\2340000 ( Direct Cost: \1800000 、 Indirect Cost:\540000 )

    There is much evidence that customer reviews are important to merchants' sales. However, little is deeply discussed about how much the online reviews affect sales, and the validity of the influence also lacks supports of empirical studies. This study posits that sales effects of customer reviews are different by market structure.
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    We propose a Bayesian statistical model to study how customer reviews affect sales and the difference in its influence between two types of merchants, market-place and self-conducted stores. The data in this study are retrieved by using Web Crawling technology. The findings suggest that (1) sales effects of review volume will be attenuates by the information of sales outcomes in previous period, (2) compared with self-conducted stores, the volume of customer reviews seem more effective on sales for merchants in market-place, and (3) the effects of review valence on sales are also somewhat stronger for market-place stores than it for self-conducted stores.

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  • Experiment and Modeling of Consumer Behavior Analysis by Using Shopping Path Data

    Grant number:22243033  2010.4 - 2015.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

    YADA Katsutoshi, KAWAKAMI Tomoko, NAKAHARA Takanobu, ICHIKAWA Kouhei, NISHIOKA Kenichi, TAKAI Keiji

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    Grant amount:\32500000 ( Direct Cost: \25000000 、 Indirect Cost:\7500000 )

    The purpose of this research is to provide a model of consumer behavior which presents the relationship between consumer's in-store movement and purchasing behavior. We integrate customer's purchase history data with shopping path data which is consumer's in-store movement data in a retailer and then present various theoretical models such as customer's behavior model based on a string analysis, a time-series model of customer's movement and so on. Actually we implemented some marketing promotions in the real retailer based on our findings and achieved good sales performance. In conclusion we present a comprehensive framework of shopping path research based on these findings. We show significant implications for retail business and some theoretical contributions in marketing.

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  • Analysis Framework for Persuading Process and an Application to Debt-Collecting Conversation Logs

    Grant number:19730275  2007 - 2010

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)

    YADA Katsutoshi

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    Grant amount:\2910000 ( Direct Cost: \2400000 、 Indirect Cost:\510000 )

    The purpose of this research is to develop a framework and an analysis method to discover some features from the content and the persuading process in un-structured databases, and to show its application to the communication for the debt-collecting process to verify the usefulness of the proposed system. In this study, we were successful in clarifying the communication process in the overdue payment collection by using the data of a Japanese telecommunication company.

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  • 大規模次元観測時系列からのダイナミクス知識体系化と理解支援手法の開発

    Grant number:19024048  2007 - 2008

    日本学術振興会  科学研究費助成事業  特定領域研究

    鷲尾 隆, 矢田 勝俊, 大原 剛三, 猪口 明博

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    Grant amount:\6100000 ( Direct Cost: \6100000 )

    本研究では, 大規模次元で表わされる状態が時間的に変化する対象系を観測したデータから, 対象の状態遷移規則を表す知識体系とそれを理解支援する技術を確立し, ICチップなどによる商業用物流・人間移動のユビキタス追跡分析・監視システムを実現する基礎原理を得ることを目的とした.
    今年度は, 前年度の手法適用を通じて問題が明らかになった,(1)個々の状態遷移規則同士の因果関係が従うべき数理的, 確率的, 物理的制約を用い, 対象の有意味な状態遷移に関する知識体系を同定する技術の開発, 及び(2)そこから特定部分状態関係を含む状態遷移規則やその規則同士の特徴的関係を把握する技術の問題点を克服する改良, 拡張に取り組んだ. 前者に関しては対象システムが取る可能性のある多くの状態候補を計算し, それら状態を確率的に統合して対象の状態とその状態遷移を推定する原理が, 特に大規模次元状態空間内で高精度, 高効率に動作する技術を開発した. 後者については, 更に特に実状態である可能性の高い状態を導く特徴的な遷移を把握し, 結果の理解容易性と同時で状態推定精度を高める方法を開発した.
    以上のために, 大阪大学の研究代表者(鷲尾)と関西大学の連携研究者(矢田)間の定期的検討会を持って緊密に連携し, 更に改良・拡張した手法を実データに適用して, 大規模変数次元時系列観測データのダイナミクスに関して総合的な知識体系を得, そのユーザー理解支援を十分に実現可能な技術改良, 拡張を行った. また, この研究過程において, 2名の大阪大学産業科学研究所の研究者(大原, 猪口)から, 主にデータ処理や実験検証の面で連携研究者として協力を得た.

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  • Scenario Map Systems for Aiding Organizational Chance Discovery

    Grant number:16200006  2004 - 2007

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

    OHSAWA Yukio, YAMADA Yuji, YADA Katsutoshi, TAKAMA Yasufumi, SUNAYAMA Wataru

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    Grant amount:\31590000 ( Direct Cost: \24300000 、 Indirect Cost:\7290000 )

    In order to aid in the organizational decision process, we invented methods for constructing systems for visualizing scenario maps from the real data on business and having people do collaborations by sharing the obtained image. Here, an organization means a number of people who share the same purpose, exemplified by (a) the members of the present project, (b) a laboratory in a university, and c a collaboration team of members coming from across difference companies. The fundamental functions aimed at by our study were: (1) scenario maps visualizing data on business, (2) the human-machine interface to enable collaborating members to create future scenarios on the scenario map, and (3) aid the collection of suitable members for the collaboration from remote working places.
    From the project of four years, we realized not only the remote meetings of people from different institutes, but also showed real-space meetings of known users are more important for real business decisions. The method we developed enables creative communications of both on-line (remote) and on-site (in the same room) members. Although we changed the research sub-goal (3) above, i.e., to search suitable members, into to put fixed members in a well-designed environment, the results show stronger creativity of collaborators' organization.
    In order to realize this application-oriented fruit, we also founded basic components, i.e., the algorithms for data analysis. The mathematical model by Yamada and Sunayama provides useful information to users in business, and the interface modules presented by Takama enables a number of collaboration members to achieve high performance of a project. The overall result of this research project has been presented to business users as well as academic researchers, with the frequent interaction with user's real working places by Ohsawa and Yada.

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  • 情報技術導入におけるビジネスシステム構築プロセスの理論と実践

    Grant number:16016282  2004 - 2005

    日本学術振興会  科学研究費助成事業  特定領域研究

    矢田 勝俊, 加藤 直樹, 羽室 行信, 岸谷 和広

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    Grant amount:\8200000 ( Direct Cost: \8200000 )

    情報機器の低価格化、インターネットの急激な普及によって、あらゆるところに莫大なデータが蓄積され、多くの日本企業がこうしたデータに注目し、価値ある知識を発見しようと様々な試みが行われている。しかし、現実には莫大な投資が行われているにも関わらず、十分な成果が得られているとは限らない。大規模なデータベースから有用な知識を発見する「データマイニング」という技術をどのようにビジネスプロセスに統合し、新しいビジネスシステムを構築するのか、理論的・実践的な研究が切望されている。
    本研究では、大規模なデータベースから有用な知識を発見する「データマイニング」技術を現実の企業へ導入し、実践科学的にその効果を検証する。我々が最も重要だと考えるのは、そうした新しい情報技術の導入に際して、新しいビジネスシステム、組織間関係の構築プロセスを理論化することである。新しい技術は新しいビジネスシステムや組織間関係のもとで、新しい価値をもたらすとすれば、そうしたプロセスを理論化し、より効率的な方法を模索することが社会的にも大きな意義をもつものと考えられる。
    我々は3つのパートでそれぞれ、重要な成果を達成することができた。プラットフォーム開発ではオープンソース・ソフトウェアとしてMUSASHIを開発し、多くの企業の導入実績をあげることができた。そしてビジネス・アプリケーションの開発としても、E-BONSAIやC-MUSASHI、PRISMなどを開発し、経営現場での実践を通して有用性を検証できた。そしてこうしたプラットフォームやアプリケーションをビジネスプロセスに導入するためのプロセスモデルの理論化も行い「データマイニングと組織能力(多賀出版)」としてまとめることができた。これらの成果は大学研究者と企業の実務家が情報・意見交換を行うビジネスマイニングワークショップで発表され、社会への還元の仕組みが完成している。

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  • データマイニングにおけるITと組織の統合ビジネスプロセス理論の構築

    Grant number:15730198  2003 - 2005

    日本学術振興会  科学研究費助成事業  若手研究(B)

    矢田 勝俊

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    Grant amount:\3500000 ( Direct Cost: \3500000 )

    近年、インターネットに代表されるITが企業内外に導入され、既存のビジネスシステムは変化を迫られている。企業は新しい技術環境に適応し、新しいビジネスシステムの構築に積極的に取り組み、自社の競争優位を維持していかなければならない。しかしながら、そのようなビジネスシステムの構築が効率的に行われているとはいえないケースが多々見られる。そうした先端技術の代表的なものとしてデータマイニングがあげられる。データマイニングは大規模なデータベースから有用な知識を発見するためのシステム、プロセスをさす。
    本研究の目的は、データマイニングのビジネスヘの導入プロセスを組織論、戦略論的観点から考察を行い、ビジネスプロセス構築の理論化を行うことである。本研究の特徴は実践を通して、構築した理論の検証を行う点にある。従来の社会科学の研究では、過去の事実を理論化する研究はあっても、事実に積極的・直接的に関与し、それらを理論化する研究はほとんどない。我々は理論と実践の融合を目指し、新しい研究体制の下で研究を遂行した。
    我々はビジネスプロセスの構築に実際に関与し、ドメイン知識(専門家の特化した知識)を導入するプロセスを理論化した。また、顧客の販売履歴からの知識発見という領域に限定することで、新しい知識創造プロセスのモデル化を行い、海外の書籍に採用された。

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  • Development of knowledge discovery system and research of business process for the implementation

    Grant number:15500096  2003 - 2004

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    HAMURO Yukinobu, KATOH Naoki, YADA Katsutoshi

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    Grant amount:\3700000 ( Direct Cost: \3700000 )

    In our research project, we have tried to develop the KDD system that can be applied to the entire KDD process, for the purpose that the system will be used in an actual company. We have achieved the following three points.
    1.Analytical methods
    We had joint research projects with some companies (retail companies like supermarket and department store) on knowledge discovery. Those companies provided us with actual sales transaction data with customer ID. Using those data we developed analytical methods that provide a useful knowledge, by which the companies can implement an effective marketing action. We developed following three methods mainly.
    (1)Knowledge discovery on store arrangement in a department store using genetic algorithm
    (2)Knowledge discovery in brand purchasing pattern using network flow estimation
    (3)Consumer Behavior Analysis by graph mining technique
    2.Algorithms used in the methods
    We developed efficient algorithms for the above analytical methods. We developed the following three methods mainly.
    (1)Algorithms required for data preprocessing
    (2)Extension of the algorithm originally used in gene analysis technology to the analysis of business data
    (3)Efficient algorithms for approximating a multi-dimensional voxel terrain by a unimodal terrain
    3.Developing a software
    We have developed a KDD software named "MUSASHI", which was released on the web of "musashi.sourceforge.jp" on 10 July, 2003. Most of the analytical methods and the algorithms mentioned above were already implemented in MUSASHI.
    More than 60,000 of people had visited on the web page and the software had been downloaded about 5,200 times since opening the web page, which shows our research result is generally accepted.

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  • 情報技術導入におけるビジネスシステム構築プロセスの理論化

    Grant number:15017282  2003

    日本学術振興会  科学研究費助成事業  特定領域研究

    矢田 勝俊, 加藤 直樹

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    Grant amount:\2500000 ( Direct Cost: \2500000 )

    本研究は,基礎技術の開発,システムアーキテクチャ,データからの知識発見,それに基づいたビジネスアプリケーションの開発,ビジネスシステムの構築,そしてその実践による効果検証という,情報技術導入におけるビジネスシステム構築プロセスの包括的理論を構築することを目的としている.
    本年度までに,我々はこれらの理論面の検討を行うことができた.その内容は相互に関連する3つの領域に分けることができる.第1にビジネスで利用されるアプリケーションの開発である.本年度はMUSASHIをベースにしたCRMシステムを開発し,企業データの解析実験を行った.第2はそれらを支える基礎技術の開発であり,オープンソースプラットフォームMUSASHIを公開し,多くの企業が参加する日本MUSASHIユーザー会を中心に普及を進めている.第3の領域はビジネス応用のためのビジネスシステム構築プロセスの理論化の問題である.経営資源論に依拠し,組織能力の概念からこれらのプロセスの理論化を行った。
    本年度はこれらの理論部分の検討を研究書としてまとめることができ,『データマイニングと組織能力』として出版することができた.今後,これらの理論モデルに基づいたシステム導入を進め,実践による検証を行う予定である.

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  • 情報技術導入におけるビジネスシステム構築プロセスの理論化

    Grant number:14019083  2002

    日本学術振興会  科学研究費助成事業  特定領域研究

    矢田 勝俊, 加藤 直樹

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    Grant amount:\3000000 ( Direct Cost: \3000000 )

    本研究では、従来、研究レベルで開発してきたマーケティング用のシステムを、現実で利用可能なパッケージへと改良して、それを現実の企業へ導入し、実践科学的にその効果を検証する。我々が最も重要だと考えるのは、そうした新しい情報技術の導入に際して、新しいビジネスシステム、組織間関係の構築プロセスを理論化することである。新しい技術が新しいビジネスシステムや組織間関係のもとで、新しい価値をもたらすとすれば、そうしたプロセスを理論化し、より効率的な方法を模索することが社会的にも大きな意義をもつものと考えられる。
    本年度、大別して2つの領域において上記の研究を進展させることができた。第一に、データマイニング技術を利用したマーケティングシステムとして、時系列解析をベースにした需要予測システムを開発した。新しい情報技術として今後、これらをビジネスのフィールドに導入していく予定である。
    第二にデータマイニングを利用したビジネスプロセスの理論化を行った。大規模データから有用な知識を発見するプロセスを理論化し、さらにそのプロセスの効率化に関するマネジメント戦略を提起した。
    本年度までで、新しい情報技術の導入、それを利用したビジネスプロセス、知識発見プロセスの理論化までを行い、知識発見プロセスの組織戦略まで明らかにすることができた。今後、これらの研究をベースにして、利害関係者すべてを含むビジネスシステム(ビジネス全体の仕組み)の構築プロセス、組織能力の構築理論を明らかにしていきたい。

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  • 構造データからのアクティブマイニング

    Grant number:13131206  2001 - 2004

    日本学術振興会  科学研究費助成事業  特定領域研究

    元田 浩, 鷲尾 隆, 大原 剛三, TUBAO Ho, 矢田 勝俊, 吉田 哲也

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    Grant amount:\64800000 ( Direct Cost: \64800000 )

    研究実績は以下のとおり.
    1.グラフ構造データからの決定木構築プログラムDT-GBIでの探索過程に領域知識の制約(指定したパターンを含む,含まない)を導入した.
    2.ペアを仮想ノードとして扱い,チャンキングをせず探索する新グラフマイニング手法Cl-GBIを開発した.適切なパラメータ設定により完全探索が可能になり,GBIの数え落としの問題点などを解決した.
    3.上記Cl-GBIを組み込んだ決定木構築プログラムDT-ClGBIを開発し,肝炎データセットで性能を評価した.
    4.数値データを伴うデータから,数値を記号離散化することなしに相関の高い数値区間を自動抽出する原理を確立し,それに基づく数値相関規則導出手法を開発した.
    5.ユーザ指向データマイニングシステムD2MSの肝炎患者に関するルールの理解容易性向上を確認し,多数のルールから統計的に有意なものを選定する手法とルール学習において領域知識を表現の制約に加える手法を提案した,
    6.科学データマイニングとしてゲノムおよび結晶データを並行して解析した.前者に関しては,SVMによるタンパク質の2次構造におけるβターンの予測手法を拡張しγターンを予測した.後者に関しては,粉末回折データから結晶構造を同定する手法を遺伝的アルゴリズムに基づき開発した.
    7.意味的まとまりを捉えたパッセージの集合として文書を表し,トレランス・ラフ集合モデルによるソフトマッチを導入し,意味を反映した相関ルールを得る手法を開発した.
    8.グラフマイニング手法AGMを消費者行動データに適用し,アクティブマイニングによる実証実験を行い新しいデータを収集した.アルコール市場分析から得られた知見に基づき,実際の店舗で店頭プロモーションを行った結果,対象商品の売り上げ増加,関連商品の同時購入頻度の増加を検証することができた.

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  • 情報技術導入におけるビジネスシステム構築プロセスの理論化

    Grant number:13224085  2001

    日本学術振興会  科学研究費助成事業  特定領域研究(C)

    矢田 勝俊, 加藤 直樹

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    本研究の目的は、新しい情報技術の導入によって再構築されるビジネスシステムのプロセスを理論化し、日本企業の情報インフラの効果的な設計、生産性の向上に貢献することである。既存研究の多くは、企業の情報化投資と生産性には直接的な因果関係がないことを指摘している。競争環境の激化は情報技術の更なる有効利用を企業に突きつけているが、多くの企業が新しい情報技術に対応した新しいビジネスシステムを構築できずにいる。その原因は日本企業の文化にあったシステムアーキテクチャの不在とその導入プロセスが不明瞭な点である。
    本研究では、我々が開発したシステムアーキテクチャを企業に導入し、新しいビジネスシステムを構築していくプロセスを理論化する。情報技術の特性と組織との関係、競争戦略における情報技術の位置付けなどを明らかにし、情報技術をより効果的に生産性に結びつける方法論を提示している。
    我々は消費者行動に関する分析システムに研究の焦点を当てている。現在、日本の流通システムでは多くのデータや情報が孤立しており、十分な消費者行動に関する分析ができない状態である。また近年のデータ蓄積は巨大化する一方で、通常の(基幹系の)システム技術では対応は難しい。そこで、大規模データベース解析に特化した我々のシステムアーキテクチャを導入し、それぞれのデータを結びつけることで、ビジネスチャンスを発見しようと試みている。
    本研究の特色の第一は、技術開発のみならず、その実践、効果検証、理論化という社会科学的アプローチを同時に行い、情報技術の影響を総合的に捉える文理融合の研究であること。第二に、研究成果が実践され、その有用性が証明されること。第三に、日本企業の情報インフラに、大学の最先端の研究蓄積を包含した1つの選択肢を提供することによって、社会へ貢献しようとする点をあげることができる。

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  • データマイニング技術の適用問題と動学的戦略論の枠組みの提示

    Grant number:11730070  1999 - 2000

    日本学術振興会  科学研究費助成事業  奨励研究(A)

    矢田 勝俊

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    Grant amount:\2100000 ( Direct Cost: \2100000 )

    本研究では、データマイニング技術の経営領域への適用問題に取り組み、またそのための戦略的枠組みを提示した。まず、データマイニング技術の適用問題に関しては、様々な実験を行い、その有用性を明らかにした。
    特にロイヤルカスタマー(優良顧客)の早期発見に関する研究で、新規顧客から早期に優良顧客を識別する問題に取り組み、2ヶ月間のデータで、1年後の優良顧客を85%の確率で予測できるモデルを構築した。これは従来の方法よりも、20%以上、予測確率を向上させることに成功しており、現実の世界での有用性を示すことができた。
    また、戦略枠組みにおいては、コミットメント論を中心に動学的戦略を研究し、データマイニング適用のための基礎的枠組みを構築した。基本的枠組みから得られる示唆は、情報システムを構築する際の設計思想、システムアーキテクチャが非常に重要であり、変化の激しい環境においては、その柔軟性が成功に大きな影響を与えることを明らかにした。具体的な設計思想として、履歴ベースという設計思想概念を提唱し、実装技術の開発を行った。その導入企業では、大幅なコスト削減が可能になった。また、システム開発期間の短縮、ユーザビリティの向上など、様々なメリットが認識された。
    今後は、こうしたシステムアーキテクチャを様々な業界で導入し、どのぐらいの効果があるかを実験、検証していかなければならないと考えている。そして、従来の設計思想との比較を行い、新しい理論構築をする必要があろう。

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  • Knowledge Discovery in Databases

    Grant number:10143102  1998 - 2000

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Priority Areas (A)

    MIYANO Satoru, YAMAGUCHI Takahira, MOTODA Hiroshi, KITAGAWA Genshiro, SUZUKI Einoshin, MORISHITA Shinichi

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    Grant amount:\119800000 ( Direct Cost: \119800000 )

    Scientists are struggling for creating better data, observations, and measurements in various fields. Their ultimate target is a discovery from such data. The process starting from data creation and ending with a series of discoveries is the object of our research. Thus the aim of our research is to create computational strategy for speeding up the discovery process in total. For this purpose, this project is organized with researchers working in scientific domains and researchers from computer science so that real issues in the discovery process will be exposed out and practical computational techniques will be devised and tested for solving these real issues.
    Group A04 has succeeded in creating solutions to this problem and a bunch of novel methods with which the discovery process can be sped up efficiently. The contributions of this project can be summarized in three items :
    1. Development of new methods/models for efficient/feasible processing in stages in computational discovery. All methods are developed for practice but most of them are well-abstracted enough for general purpose application.
    2. Integration strategy for the total discovery process and paradigm of discovery system.
    3. Discoveries
    In addition to these individual research activities, this project took the initiatives in enlightenment of Discovery Science which are published as "S. Miyano (Guest Chief Editor), Surveys on Discovery Science, Special Issue, IEICE Transactions on Information and Systems, Vol. E83-D, No, 1, 2000" and "S. Morishita and S. Miyano (eds), Discovery Science and Data Mining, Kyoritsu Shuppan, 2000."

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  • 経営データにおけるデータマイニング基礎技術の開発、ならびに戦略的活用に関する研究

    Grant number:10143107  1998

    日本学術振興会  科学研究費助成事業  特定領域研究(A)

    矢田 勝俊, 羽室 行信, 加藤 直樹

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    Grant amount:\2800000 ( Direct Cost: \2800000 )

    本研究では、ビジネス分野におけるデータマイニング基礎技術、ならびに実装技術の開発を発見科学の立場から行うものである。
    データマイニング技術を適用するには、まだ多くの基礎技術の開発が欠かせない。本研究では、クラス間分散最大区間を求めるアルゴリズムと二次元への拡張を行った。求める領域を矩形領域に限定することによって、クラス間分散を最大化するような領域を求める高速アルゴリズムを開発した。さらに、1次元配列だけではなく、2次元配列における問題に拡張できるようにした。また、実装技術としては、履歴ベースの考え方を提示し、データマイニング志向のデータ蓄積技術を開発した。従来の企業で採用されている蓄積方法はデータマイニングプロセスで必要となる重要なデータが消失してしまうが、我々の提示する履歴ベースは、時系列データを蓄積することによって、データマイニングプロセスをサポートすることが可能になっている。これらは既に、企業への導入が行われているものであるが、その蓄積されたデータをもとに、実証実験を行い、現実への有用性を我々は明らかにすることができた。特に、企業の販売促進戦略への応用は将来的に、十分な効果が期待できるものと思われる。ダイレクトメールのターゲット顧客の選定にアソシエーションルールのアルゴリズムを適用し、検証の結果、通常の4倍の効率向上を確認することができた。
    我々は、こうした経営データに対してデータマイニング技術を適用し、基礎技術、実装技術の開発、その実証を通して、発見科学の経営領域の研究に寄与できるものと考えている。

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Devising educational methods

  • DSIプログラムを開発し、文部科学省の産学連携による実践型人材育成事業に採択され、実践力の高い学生の教育を実施している。本教育プログラムでは、巨大データを自由に分析し、その中から有用な知識を発見し、新しい価値を創出する様々なスキルを学習させている。産学連携ではFSP研究会、産学連携ワークショップを開催し、国内100社以上の企業の参加を得て、学生の教育成果の発信を行っている。

Teaching materials

  • DSIプログラム関連教育科目の教材一式 教科書としては、 加藤直樹・羽室行信・矢田勝俊『データマイニングとその応用』朝倉書店, 2008. などがある。

Teaching method presentations

  • K. Ichikawa, K.Yada, N. Nakachi and T. Washio, “Advertising Carryover Effects and Optimal Budget Allocation”, Proc. of KES 2009, LNAI 5712, pp.270-277, 2009. M. Kholod, T. Nakahara, H. Azuma, and K. Yada. ''The Influence of Shopping Path Length on Purchase Behavior in Grocery Store'', Proceedings of KES 2010, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes In Artificial Intelligence(LNAI)6278, pp. 273-280, September,2010.

Special notes on other educational activities

  • マーケティング分析コンテスト 2010 最優秀賞, 金東賢, 中原孝信, 矢田勝俊, 投稿論文名「イノベータ理論に基づくスマートフォン市場成長期の顧客特徴抽出と販売戦略の提案 -クリークを用いたXperiaの購入プロセスの解明 -」, 株式会社野村総合研究所マーケティング分析コンテスト事務局主催, 2010.(2011/1/)