KANSAI UNIVERSITY

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Publications

Publications

Books

International Conference / Journal Papers

2017 - Present
  • X. Zhong, K. Ishibashi and K. Yada, "An Empirical Study of the Relationship Among Self-Control, Price Promotions and Consumer Purchase Behavior", 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018, Miyazaki, Japan), pp. 1867-1872, 2018.
  • Y. Zuo, K. Yada, T. Li and P. Chen, "Application of Network Analysis Techniques for Customer In-store Behavior in Supermarket", 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018, Miyazaki, Japan), pp. 1861-1866, 2018.
  • K. Yada, Y. Sun and B. Wu, "The Short-Term Impact of an Item-Based Loyalty Program", 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018, Miyazaki, Japan), pp. 1846-1851, 2018.
  • K. Yada, K. Ichikawa, K. Takai and K. Miyazaki, "A Framework of ASP for shopping path analysis", 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2017, Mana Island, Fiji), pp. 49-54, 2017.
  • B. Wu and K. Yada, "The Effect of Crowding on Visit Ratio at an Product Area: Based on RFID Data in a Japanese Supermarket", 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2017, Mana Island, Fiji), pp. 27-32, 2017.
  • Y. Kaneko and K. Yada, "Do Sales Promotions Affect Dynamic Changes in Sales Outcomes: Estimation of Dynamic State of Product Sales", 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2017, Mana Island, Fiji), pp. 19-26, 2017.
  • K. Ishibashi, T. Iwasaki, S. Otomasa and K. Yada, "Model selection for financial statement analysis: Comparison of models developed by using data mining technique", 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017, Banff AB, Canada), pp. 81-86, 2017.
  • Y. Kaneko, S. Miyazaki and K. Yada, "The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship", Procedia Computer Science, Vol. 112, pp. 1845-1854, 2017.
  • W. So and K. Yada, "A Framework of Recommendation System Based on In-store Behavior", Proceedings of the 4th Multidisciplinary International Social Networks Conference (MISNC 2017, Bangkok, Thailand), pp. 1-4, 2017.
2014 - 2016
  • Y. Kaneko and K. Yada, "A Deep Learning Approach for the Prediction of Retail Store Sales", 2016 IEEE 16th International Conference on Data Mining Workshops (ICDM 2016, Barcelona, Spain), pp. 531-537, 2016.
  • Z. Li, K. Ishibashi, Y. Kaneko, K. Miyazaki, H. Shioji and K. Yada, "Vehicle Ownership and Economic Development", 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2016, Nadi, Fiji), pp. 171-180, 2016.
  • Y. Zuo, K. Yada and A. Ali, "Prediction of Consumer Purchasing in a Grocery Store Using Machine Learning Techniques", 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2016, Nadi, Fiji), pp. 18-25, 2016.
  • Z. Li and K. Yada, "Does the Existence of Private-Label Brands Really Impede National Brands Sales? Empirical Evidence Based on POS Data", Proceedings of 2016 3rd International Conference of Asian Marketing Associations, pp. 1-17, 2016.
  • K. Ishibashi, T. Iwasaki, S. Otomasa and K. Yada, "Model Selection for Financial Statement Analysis: Variable Selection with Data Mining Technique", Procedia Computer Science, Vol. 96, pp. 1681-1690, 2016.
  • N. Sano, R. Tsutsui, K. Yada and T. Suzuki, "Clustering of Customer Shopping Paths in Japanese Grocery Stores, Procedia Computer Science, Vol. 96, pp. 1314-1322, 2016.
  • Y. Kaneko and K. Yada, "Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket", Procedia Computer Science, Vol. 96, pp. 1764-1771, 2016.
  • Z. Li and K. Yada, "Complementary Relationship between Private Brands and National Brands: Empirical Evidence Based on POS Data", Proceedings of 2016 38th ISMS Marketing Science Conference, pp. 37-47, 2016.
  • Z. Li, K. Ishibashi, K. Takai and K. Yada, "Shop area visit ratio, stay time, and sales outcomes: In-depth analysis based on RFID data", 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2015, Nadi, Fiji), pp. 1-7, 2015.
  • Y. Zuo and K. Yada, "Using Statistical Learning Theory for Purchase Behavior Prediction via Direct Observation of Instore Behavior", 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE 2015, Nadi, Fiji), pp. 1-6, 2015.
  • Z. Li and K. Yada, "Why do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion", 2015 IEEE 15th International Conference on Data Mining Workshops (ICDM 2015, Atlantic City NJ, USA), pp. 328-335, 2015.
  • N. Sano, N. Machino, K. Yada and T. Suzuki, "Recommendation System for Grocery Store Considering Data Sparsity", Procedia Computer Science, Vol. 60, pp. 1406-1413, 2015.
  • K. Ishibashi, K. Miyazaki and K. Yada, "Verification of Effect on Next Purchase When Many Vice Category Products are Brought", Procedia Computer Science, Vol. 60, pp. 1780-1787, 2015.
  • Y. Kaneko, S. Miyazaki and K. Yada, "Visualization System for Shopping Path", Procedia Computer Science, Vol. 60, pp. 1772-1779, 2015.
  • N. Sano and K. Yada, "The influence of sales areas and bargain sales on customer behavior in a grocery store", Neural Computing and Applications, Vol. 26 No. 2, pp. 355-361, 2015.
  • Y. Zuo and K. Yada, "Using Bayesian network for purchase behavior prediction from RFID data", 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014, San Diego CA, USA), pp. 2262-2267, 2014.
  • Y. Zuo, A.B.M.S. Ali and K. Yada, "Consumer Purchasing Behavior Extraction Using Statistical Learning Theory", Procedia Computer Science, Vol. 35, pp. 1464-1473, 2014.
  • N. Sano, S. Tamura, K. Yada and T. Suzuki, "Evaluation of Price Elasticity and Brand Loyalty in Milk Products", Procedia Computer Science, Vol. 35, pp. 1482-1487, 2014.
  • N. Sano, K. Yada and T. Suzuki, "Category evaluation method for business intelligence using a hierarchical Bayes model", 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing (London, UK), pp. 400-407, 2014.
2010 - 2013
  • K. Takai and K. Yada, "A framework for Analysis of the Effect of Time on Shopping Behavior", Journal of Intelligent Information Systems, Vol. 41 No. 1, pp. 91-107, 2013.
  • N. Sano and K. Yada, "Determining the share of product categories on discount flyers based on the interaction effect between bargain scale and sales area", 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 2013), pp. 315-319, 2013.
  • Y. Zuo and K. Yada, "Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology", 2013 IEEE 13th International Conference on Data Mining Workshops, (ICDM 2013, Dallas TX, USA), pp. 242-249, 2013.
  • M. Kholod and K. Yada, "An Examination of the Impact of Neurophysiologic and Environmental Variables on Shopping Behavior of Customers in a Grocery Store in Japan", Frontiers in Artificial Intelligence and Applications, Vol. 243: Advances in Knowledge-Based and Intelligent Information and Engineering Systems, pp. 2099-2103, 2012.
  • T. Nakahara and K. Yada, "Analyzing Consumers’ Shopping Behavior Using RFID Data and Pattern Mining", Advances in Data Analysis and Classification, Vol. 6 No. 5, pp. 355-365, 2012.
  • N. Sano and K. Yada, "Customer Behavior Modeling Using Radio Frequency Identification Data and the Hidden Markov Model", Proceedings of 2012 Service Research and Innovation Institution Global Conference (SRII 2012), IEEE CPS, pp. 509-514, 2012.
  • T. Nakahara and K. Yada, "Evaluation of the Shopping Path to Distinguish Customers Using a RFID Dataset", International Journal of Organizational and Collective Intelligence, Vol. 2 No. 4, pp. 1-14, 2011.
  • K. Yada, "String Analysis Technique for Shopping Path in a Supermarket", Journal of Intelligent Information Systems, Vol. 36 No. 3, pp. 385-402, 2011.
  • S. Miyazaki, T. Washio and K. Yada, "Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID", 2011 IEEE 11th International Conference on Data Mining Workshops (ICDM 2011, Vancouver BC, Canada), pp. 1170-1176, 2011.
  • K. Yada and K. Ichikawa, "Decision Support System for Policy Making during a Financial Crisis", Proceedings of IEEE GrC 2011, pp. 756-760, 2011.
  • K. Takai and K. Yada, "Finding Latent Groups of Customers via the Poisson Mixture Regression Model", Proceedings of 2011 IEEE Conference on Systems, Man and Cybernetics, IEEE Press, pp. 3603-3608, 2011.
  • T. Nakahara and K. Yada, "Extraction of Customer Potential Value Using Unpurchased Items and In-Store Movements", In: König A., Dengel A., Hinkelmann K., Kise K., Howlett R.J., Jain L.C. (eds), Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science, Vol. 6883, pp. 295-303, 2011.
  • M. Kholod, K Takai and K. Yada, "Clockwise and Anti-clockwise Directions of Customer Orientation in a Supermarket: Evidence from RFID Data", In: König A., Dengel A., Hinkelmann K., Kise K., Howlett R.J., Jain L.C. (eds), Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science, Vol. 6883, pp. 304-309, 2011.
  • K. Ichikawa, E. H. Ip, K. Yada and T. Washio, "Application of DNA Sequence Alignment Algorithm to Classification of Shopping Paths through a Supermarket", Proceedings of SIAM International Workshop on Data Mining for Marketing, pp. 37-42, 2011.
  • X. Ding and K. Yada, "Transition Matrix Compression Algorithm for In-store Shopping Path Analysis", Proceedings of SIAM International Workshop on Data Mining for Marketing, pp. 43-47, 2011.
  • T. Nakahara, T. Kin and K. Yada, "Analysis of the Impact of Media Contact on the Purchase Process", Proceedings of SIAM International Workshop on Data Mining for Marketing, pp. 48-61, 2011.
  • K. Yada, T. Washio and H. Koga, "A Framework for Shopping Path Research", Proceedings of SIAM International Workshop on Data Mining for Marketing, pp. 31-36, 2011.
  • K. Yada, "Special Issue on Chance Discovery Returned", New Mathematics and Natural Computation, Vol. 6 No. 2, pp. 163-165, 2010.
  • K. Yada, T. Washio and Y. Ukai, "Modeling deposit outflow in financial crises: application to branch management and customer relationship management", International Journal of Advanced Intelligence Paradigms, Vol. 2 No. 2/3, pp. 254-270, 2010.
  • Y. Ohsawa and K. Yada, "International Workshop on Innovating Service Systems", In: Onada T., Bekki D., McCready E. (eds), New Frontiers in Artificial Intelligence. JSAI-isAI 2010. Lecture Notes in Computer Science, Vol. 6797, pp. 232, 2010.
  • T. Nakahara, T. Uno and K. Yada, "Extracting Promising Sequential Patterns from RFID Data Using the LCM Sequence", Proceedings of KES 2010, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes In Artificial Intelligence (LNAI), Vol. 6278, pp. 244-253, September 2010.
  • K. Takai and K. Yada, "Relation between stay-time and purchase probability with RFID data in a Japanese supermarket", Proceedings of KES 2010, Knowledge-Based and Intelligent Information and Engineering Systems, Lecture Notes In Artificial Intelligence (LNAI), Vol. 6278, pp. 254-263, September 2010.
  • 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), Vol. 6278, pp. 273-280, September 2010.
  • K. Ichikawa, K. Yada and T. Washio, "Development of Data Mining Platform MUSASHI Towards Service Computing", 2010 IEEE International Conference on Granular Computing (GrC 2010, San Jose CA, USA), pp. 235-240, 2010.
2006 - 2009
  • K. Yada, T. Washio, Y.Ukai and H. Nagaoka, "Modeling Bank Runs in Financial Crises", The Review of Socionetwork Strategies, Vol. 3 No. 1, pp. 19-31, 2009.
  • K. Ichikawa, K. Yada, N. Nakachi and T. Washio, "Advertising Carryover Effects and Optimal Budget Allocation", Proceedings of KES 2009 (Santiago, Chile), LNAI, Vol. 5712, pp. 270-277, 2009.
  • K. Yada, "Character String Analysis and Customer Path in Stream Data", 2008 IEEE 8th International Conference on Data Mining Workshops (ICDM 2008, Pisa, Italy), pp. 829-836, 2008.
  • K. Ohno and K. Yada, "Pricing System for Seeking Optimal Prices in the Diet Foods Market", Proceedings of 2008 IEEE Conference on Systems, Man and Cybernetics, IEEE Press, pp. 3514-3518, 2008.
  • K. Yada, T. Washio, Y. Ukai and H. Nagaoka, "A Bank Run Model in Financial Crises", In: Lovrek I., Howlett R.J., Jain L.C. (eds), Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science, Vol. 5178, pp. 703-710, 2008.
  • K. Yada, E. Ip, Y. Hamuro and N. Katoh, "Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability", Decision Support Systems, Elsevier, Vol. 44 No. 1, pp. 223-234, 2007.
  • K. Yada, "CODIRO: A New System for obtaining Data Concerning Consumer Behavior Based on Data Factors of High Interest Determined by the Analyst", Soft Computing, Springer-Verlag, Vol. 11 No. 8, pp. 811-817, 2007.
  • K. Yada, "Lessons learned from a case study on process data management", 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC 2007, Montreal Que., Canada), pp. 3530-3534, 2007.
  • K. Yada, "Data Mining Application for Time-Series Data", Information Sciences 2007 Proceedings of 10th Joint Conference (JCIS 2007), pp. 21-27, July 2007.
  • K. Yada, "Business Application of Sequence Analysis Technique in the Supermarket", Information Sciences 2007 Proceedings of 10th Joint Conference (JCIS 2007), pp. 178-182, July 2007.
  • K. Yada, "Data Mining Technique for Gene Analysis Makes Profits in the Supermarket", 2007 AMA Winter Educators' Conference Proceedings (San Diego CA, USA), pp. 122-129, February 2007.
  • T. Washio, Y. Shinnou, K. Yada, H. Motoda and T. Okada, "Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques", New Frontiers in Artificial Intelligence, LNCS, Vol. 4384, pp. 305-316, 2007.
  • K. Yada and K. Ohno, "Knowledge Discovery from Click Stream Data and Effective site management", New Frontiers in Artificial Intelligence, LNCS, Vol. 4384, pp. 360-373, 2007.
  • K. Yada, "The Structure of Scenario Communication and Chance Discovery", In: Ohsawa Y., Tsumoto S. (eds), Chance Discoveries in Real World Decision Making, Springer-Verlag, pp. 21-36, 2006.
  • K. Yada, H. Motoda, T. Washio and A. Miyawaki, "Consumer Behavior Analysis by Graph Mining Technique", New Mathematics and Natural Computation, Vol. 2 No. 1, pp. 59-68, 2006.
  • W. Sunayama and K. Yada, "The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs", 2006 IEEE 6th International Conference on Data Mining Workshops (ICDM 2006, Hong Kong), pp. 575-579, 2006.
  • K. Yada and N. Matsumura, "Knowledge Discovery from the Structure of Persuasive Communication", Proceedings of 2006 IEEE Conference on Systems, Man and Cybernetics, IEEE Press, pp. 1741-1746, 2006.
  • K. Yada and K. Ohno, "The Practice of an Optimal Pricing Strategy for Maximizing Store Profits Using PRISM", Proceedings of 2006 IEEE Conference on Systems, Man and Cybernetics, IEEE Press, pp. 2121-2126, 2006.
  • K. Yada, N. Matsumura, K. Ohno and H. Tamura, “Does Web Log Data Reveal Consumer Behavior? The Case of Analysis for an Internet Mall”, Proceedings of the Annual Conference of the Academy of Marketing Science, Vol. 24, pp. 256-262, 2006.
2005 and Older
  • T. Araki, S. Hamada, N. Matsumura, S. Niwase, Y. Ohsawa and K. Yada, "Chance Discovery from Consumer Research Using KeyGraph", Readings in Chance Discovery, Advanced Knowledge International, pp. 373-384, 2005.
  • K. Yamamoto and K. Yada, "Optimum Pricing Strategy for Maximization of Profits and Chance Discovery", Proceedings of 9th International Conference of KES 2005 (invited session on Chance Discovery), LNAI, Vol. 3681, pp. 1160-1166, 2005.
  • K. Yada, H. Motoda and T. Washio, "A Data Mining for Graph Structure Data Helps to Discover New Knowledge in Consumer Behavior and Makes Profits", Proceedings CD of AMS International Retailing Conference 2005 (Reims, France), pp. 1-17, 2005.
  • K. Yada, Y. Hamuro, N. Katoh and K. Kishiya, "The Future Direction of New Computing Environment for Exabyte Data in the Business World", Proceedings of 2005 Symposium on Applications and the Internet (SAINT 2005), IEEE CS, pp. 316-319, 2005.
  • K. Yada, Y. Hamuro, N. Katoh, T. Washio, I. Fusamoto, D. Fujishima and T. Ikeda, "Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI", In: S. Tsumoto et al. (eds), Active Mining, LNAI Vol. 3430, pp. 152-173, 2005.
  • K. Yada, "Knowledge Discovery Process and Introduction of Domain Knowledge", In: B. Montano (eds), Innovations of Knowledge Management, IRM Press, pp. 86-98, 2004.
  • K. Yada, K. Kishiya and H. Osawa, "The Structure of Scenario Communication: A case study of consumer TV commercial awareness research", Proceedings of the First European Workshop on Chance Discovery (EWCD 2004), in conjunction with 16th European Conference on Artificial Intelligence (ECAI 2004), pp. 132-140, 2004.
  • Y. Hamuro, N. Katoh, E.H. Ip, S.L. Cheung and K. Yada, "Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior", In: V. Torra (ed), Information Fusion in Data Mining, Studies in Fuzziness and Soft Computing, Vol. 123, Springer, pp. 161-187, 2003.
  • N. Katoh, K. Yada and Y. Hamuro, "Business Application for Sales Transaction Data by Using Genome Analysis Technology", Discovery Science, LNAI, Vol. 2843, pp. 208-219, 2003.
  • K. Yada, “Knowledge Discovery Process from Sales Data”, Proceedings of the 2003 Information Resource Management Association (IRMA) International Conference, Idea Group Publishing, pp. 161-187, 2003.
  • K. Yada, "The Future Direction of Active Mining in the Business World", Frontiers in Artificial Intelligence and Applications, Vol. 79, IOS Press, pp. 239-245, 2002.
  • E. Ip, J. Johnson, K. Yada, Y. Hamuro, N. Katoh and S. Cheung, "A Neural Network Application to Identify High-Value Customer for a Large Retail Store in Japan", Neural Networks in Business: Techniques and Applications, Idea Group Publishing, pp. 55-69, 2002.
  • Y. Hamuro, H. Kawata, N. Katoh and K. Yada, "A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History", Progress in Discovery Science, LNAI, Vol. 2281, Springer, pp. 565-575, 2002.
  • Y. Hamuro, N. Katoh and K. Yada, "MUSASHI: Flexible and Efficient Data Preprocessing Tool for KDD based on XML", 2002 IEEE 2nd International Conference on Data Mining Workshops (ICDM 2002, Maebashi, Japan), pp. 38-49, 2002.
  • Y. Hamuro, N. Katoh and K. Yada, "Discovering association strength among brand loyalties from purchase history", Proceedings 2001 IEEE International Symposium on Industrial Electronics (Pusan, Korea), pp. 114-117, June 2001.
  • Y. Hamuro, N. Katoh and K. Yada, "Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior", Discovery Science (DS 2000), LNCS, Vol. 1967, pp. 263-267, 2000.
  • E. Ip, K. Yada, Y. Hamuro and N. Katoh, “A Data Mining System for Managing Customer Relationship”, Proceedings of the 2000 Americas Conference on Information Systems, pp. 101-105, August 2000.
  • K. Yada, Y. Hamuro and N. Katoh, “The Discovery of Customer Loyalty from Newcomers”, Proceedings of 2000 MIS/OA International Conference, pp. 185-189, June 2000.
  • K. Fujisawa, Y. Hamuro, N. Katoh, T. Tokuyama and K. Yada, "Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming", Proceedings of the Second International Conference DS'99, LNAI, Vol. 1721, pp. 148-159, 1999.
  • Y. Hamuro, N. Katoh and K. Yada, "Data Mining oriented System for Business Applications", Proceedings of First International Conference DS'98, LNCS, Vol. 1532, pp. 441-442, 1998.
  • Y. Hamuro, N. Katoh, N. Matsuda and K. Yada, "Mining Pharmacy Data Helps to Make Profits", Data Mining and Knowledge Discovery, Vol. 2 No. 4, pp. 391-398, 1998.
  • K. Yada, N. Katoh, Y. Hamuro and Y. Matsuda, "Customer Profiling Makes Profits: How did a Japanese firm achieve competitive advantage through the knowledge creation?" Proceedings of The Practical Application of Knowledge Management 98, The Practical Application Company, pp. 57-66, March 1998.

Awards

  • the 2019 Prize for Science and Technology in the Commendation for Science and Technology by Japan's Minister of Education, Culture, Sports, Science and Technology (MEXT).
  • The Best Paper Awards, Finalist, 2014 IEEE International Conference on Systems, Man, and Cybernetics.
  • Encouragement Awards of Japanese Society for Artificial Intelligence, June 2012
  • Encouragement Awards of Japanese Society for Artificial Intelligence, June 2011
2010 and Older
  • Grand Prize, Marketing Analysis Contest 2010, Nomura Research Institute, Ltd.
  • Distinguished Professor Award, Kansai University, February 2009
  • Second Prize, Marketing Analysis Contest 2007, Nomura Research Institute, Ltd.
  • The Session Best Presentation Award at SCIS & ISIS 2006, in Tokyo, September 2006
  • Outstanding Book Award, Japan Society for Fuzzy Theory and Intelligent Informatics, December 2005
  • International Development Award, Center for International Business Education and Research (CIBEAR), Marshall Business School, USC, USA, December 2003
  • The Best Paper Award at the IBER Conference in Las Vegas, Nevada, 2003
  • Encouragement Awards of SPSS Open House, 2003
  • Encouragement Awards of Japanese Society for Artificial Intelligence, June 2002
  • Kanematsu Fellowship in Research Institute for Economics & Business Administration at Kobe University, April 1996

Academic Activities

  • SIAM International Workshop on Data Mining for Marketing (DMM2011), Chair.
  • IEEE ICDM (International Conference on Data Mining) Workshop, Data Mining for Service (DMS 2010), Co-chairs, 2010-present.
  • Executive Editor, The Review of Socionetwork Strategies, Springer, 2010-present.
  • Special Issue on Chance Discovery returned, New Mathematics and Natural Computation (NMNC), Vol. 6 No. 2, pp. 163-165, 2010, Guest editor.
2009 and Older
  • Special Issue on Chance Discovery –Discovery of Significant Events for Decision Making, Information Sciences, Vol. 179 No. 11, pp. 1567-1569, 2009, Guest editor.
  • 2008 IEEE ICDM (International Conference on Data Mining) Workshop, Data Mining for Design and Marketing (DMDM2008), Co-chair.
  • PAKDD 2008: The Pacific-Asia Conference on Knowledge Discovery and Data Mining 2008, Local Arrangement Committee Co-chair.
  • IEEE ICDM 2007: The Seventh IEEE International Conference on Data Mining, Program Committee.
  • 2007 AMA (American Marketing Association) Winter Educator’s Conference, Session Chair. (Session Title: New Developments in Research Methodology.)
  • 2006 IEEE ICDM (International Conference on Data Mining) Workshop, Data Mining for Design and Marketing (DMDM2006), Co-chair.
  • 2006 IEEE International Conference on SMC, Track on Tools for Discovery, Decision and Design, Track Organizers, 2006-present.
  • 9th Joint Conference on Information Sciences, Special Session on Chance Discovery, Session Co-chair.
  • Technical Committee Co-chairs of TC on Information Systems for Design and Marketing, IEEE Systems, Man & Cybernetics Society, 2006-present.
  • International Workshop on Risk Management Systems with Intelligent Data Analysis (In conjunction with the 19th Annual Conference of the Japanese Society for Artificial Intelligence, JSAI2005), Program Committee.
  • International Workshop on Chance Discovery: From Data Interaction to Scenario Creation, (In conjunction with the International Conference on Machine Learning, ICML2005), Program Committee.
  • International Workshop on Computer Intelligence for Exabyte Scale Data Explosion (In conjunction with the 2005 International Symposium on Application and the Internet, SAINT2005), Program Committee.
  • First European Workshop on Chance Discovery in ECAI 2004 (EWCD-04), Program Committee.
  • 2003 Information Resources Management Association International Conference: The Program Committee of IRMA'2003.
  • The Seventh Pacific Rim International Conference on Artificial Intelligence, The 2nd Workshop on Chance Discovery (CDWS2) in PRICAI 2002 Program Committee.
  • IEEE ICDM '02: The 2002 IEEE International Conference on Data Mining, The Industry Track Program Committee.