Research Project of Data Mining


Research Policy

The knowledge discovery in business data is extremely important in highly competitive circumstance. However it does not seem that the most companies have made full use of these accumulated data for strategic planning. It is not clear how companies construct actual data mining systems and how they produce profits by using knowledge derived from them. In our project we have discussed how the data mining systems is applied to the data in the real world and pointed out the research problems in the future.

Selected Research, Papers and Publications

Leader Profile

Katsutoshi YADA, Ph.D.

Professor of Management Information Systems
Faculty of Commerce
Kansai University

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Papers

< System architecture for data mining: MUSASHI >

Y. Hamuro, N. Katoh, N. Matsuda, and K. Yada, gMining Pharmacy Data Helps to Make Profits,h Data Mining and Knowledge Discovery, Vol. 2 Issue 4, pp.391-398, December 1998.

Hamuro, Y., Katoh, N., and Yada, K., Data Mining oriented System for Business Applications," Lecture Notes in Artificial Intelligence 1532, Proceedings of First International Conference DS'98, 1998, pp. 441-442.

Y. Hamuro, N. Katoh and K. Yada, gMUSASHI: Flexible and Efficient Data Preprocessing Tool for KDD based on XML,h DCAP2002 Workshop held in conjunction with ICDM2002, pp.38-49, 2002.

K. Yada, Y. Hamuro, N. Katoh and K. Kishiya, "The Future Direction of New Computing Environment for Exabyte Data in the Business World," Proc. of 2005 Symposium on Applications and the Internet (SAINT 2005), IEEE CS, pp.316-319, 2005.

K. Yada, gCODIRO: A New System for obtaining data concerning consumer behavior based on data factors of high interest determined by the analyst,h Soft Computing, Vol.11, No.8, Springer-Verlag, pp.811-817, 2007.

< String pattern analysis by using genome analysis technology: E-BONSAI >

Y. Hamuro, H. Kawata, N. Katoh and K. Yada, gA Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History,h Progress in Discovery Science, LNAI 2281, Springer, pp.565-575, 2002.

Y. Hamuro, N. Katoh, E. H. Ip, S. L. Cheung and K. Yada, gCombining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior,h 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, gBusiness Application for Sales Transaction Data by Using Genome Analysis Technology,h Discovery Science (G. Grieser, Y. Tanaka and A. Yamamoto eds.), LNAI 2843, pp. 208-219, 2003.

D. Naito, K. Yamamoto, K. Yada, N. Matsumura, K. Ohno and H. Tamura, gDoes WEB Log Data Reveal Consumer Behavior?h Proc. of the Workshop gDiscovery Challengeh in conjunction with ECML/PKDD 2005 (Oct 7 2005, Porto, Portugal), pp. 43-54, 2005.

K. Yada, Y. Hamuro and N. Katoh, "Data Mining Technique for Gene Analysis Makes Profits in the Supermarket" 2007 AMA Winter Educators' Conference Proceedings, pp.575-579, 2006.

< Graph mining application in business field >

M. Kuroda, K. Yada, H. Motoda and T. Washio, gKnowledge Discovery from Consumer Behavior in an Alcohol Market by Using Graph Mining Techniqueh, Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, 2004-ICS-138, pp.111-116, 2004.

K. Yada, H. Motoda and T. Washio, gA Data Mining for Graph Structure Data Helps to Discover New Knowledge in Consumer Behavior and Makes Profits,h Proc. CD of AMS International Retailing Conference 2005 (Reims, France), pp.1-17, 2005.

K. Yada, H. Motoda, T. Washio and A. Miyawaki, gConsumer Behavior Analysis by Graph Mining Technique,h New Mathematics and Natural Computation, Vol.2, No.1, pp.59-68, 2006.

< Knowledge management and customer relationship management (CRM) >

Y. Hamuro, N. Katoh, N. Matsuda, and K. Yada, gMining Pharmacy Data Helps to Make Profits,h Data Mining and Knowledge Discovery, Vol. 2 Issue 4, pp.391-398, December 1998.

E. Ip, K. Yada, Y. Hamuro, and N. Katoh, gA Data Mining System for Managing Customer Relationship,h Proceedings of the 2000 Americas Conference on Information Systems, pp.101-105, August 2000.

K. Yada, gThe Future Direction of Active Mining in the Business World,h 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, gA Neural Network Application to Identify High-Value Customer for a Large Retail Store in Japan,h Neural Networks in Business: Techniques and Applications, Idea Group Publishing, pp.55-69, 2002.

Y. Hamuro, N. Katoh, E. H. Ip, S. L. Cheung and K. Yada, gCombining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior,h V. Torra(ed.), Information Fusion in Data Mining, Studies in Fuzziness and Soft Computing, Vol.123, Springer, pp.161-187, 2003.

K. Yada, gKnowledge Discovery Process and Introduction of Domain Knowledge,h B. Montano (Eds.), Innovations of Knowledge Management, IRM Press, pp.86-98, 2004.

K. Yada, K. Kishiya and H. Osawa, gThe Structure of Scenario Communication: -A case study of consumer TV commercial awareness research-,g Proc. of the First European Workshop on Chance Discovery (EWCD2004), in conjunction with 16th European Conference on Artificial Intelligence (ECAI2004), pp.132-140, 2004.

K. Yada, Y. Hamuro, N. Katoh, T. Washio, I. Fusamoto, D. Fujishima and T. Ikeda, gData Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI,h S. Tsumoto et al. (Eds.), Active Mining, LNAI 3430, pp.152-173, 2005.

K. Yada and S. Tanaka, gScenario Representation in Consumer Behavior,h ICML 2005 Tutorials and Workshops Proceedings (Bonn, Germany), pp.110-116, 2005.

< Pricing strategy and system >

Y. Hamuro, N. Katoh and K. Yada, Discovering association strength among brand loyalties from purchase history, Proc. 2001 IEEE International Symp. on Industrial Electronics, pp.114-117, Pusan June 2001.

K. Yamamoto and K. Yada, gOptimum Pricing Strategy for Maximization of Profits and Chance Discovery,h Proc. of 9th International Conference of KES 2005 (invited session on Chance Discovery), LNAI 3681, pp.1160-1166, 2005.

K. Yada and K. Ohno, "The Practice of an Optimal Pricing Strategy for Maximizing Store Profits Using PRISM" Proc. of 2006 IEEE Conference on System, Man and Cybernetics, IEEE Press, pp.2121-2126, 2006.

< WEB Log mining >

D. Naito, K. Yamamoto, K. Yada, N. Matsumura, K. Ohno and H. Tamura, gDoes WEB Log Data Reveal Consumer Behavior? The Case of Analysis for an Internet Mallh Proc. of the Annual Conference of the Academy of Marketing Science 2006, Vol.24, Academy of Marketing Science, pp.256-262, 2006.

< Others >

Yada, K., Katoh, N., Hamuro, Y., and Matsuda, Y., "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.

Fujisawa, K., Hamuro, Y., Katoh, N., Tokuyama, T., and Yada, K., "Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming," Lecture Notes in Artificial Intelligence 1721, Proceedings of First International Conference DS'99, pp.148-159, 1999.

K. Yada, T. Araki and D. Fujishima, gWhat Effect does a Crisis Have on Consumer Behavior?: The Example of a food Poisoning Incident in Japan,h European Applied Business Research Conference Refereed Proceedings, #347, 2004.

T. Araki, S. Hamada, N. Matsumura, S. Niwase, Y. Ohsawa and K. Yada, gChance Discovery from Consumer Research Using KeyGraph,h Readings in Chance Discovery, Advanced Knowledge International, pp.373-384, 2005.
K. Yada, and M. Matsumura, "Knowledge Discovery from the Structure of Persuasive Communication," Proc. of 2006 IEEE Conference on System, Man and Cybernetics, IEEE Press, pp.1741-1746, 2006.
K. Yada, "The Structure of Scenario Communication and Chance Discovery," Studies in Computational Intelligence, Vol.30, Springer-Verlag, pp.21-36, 2006.
W. Sunayama and K. Yada,
gThe River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs,h Proc. of IEEE International Workshop on Data Mining for Design and Marketing, in conjunction with 6th IEEE International Conference on Data Mining, IEEE CS, pp. 575-579, December 2006.

Awards

September, 2006          Session Best Presentation Award at SCIS & ISIS 2006.
December, 2005           Outstanding Book award, Japan Society for Fuzzy Theory and Intelligent Informatics.
October, 2003             The Best Paper Award at the IBER Conference

June, 2003                Encouragement Awards of Japanese Society for Artificial Intelligence

April, 1996                 Kanematsu Fellowship in Research Institute for Economics & Business Administration at Kobe University

Academic Activities

[1] IEEE ICDM '02: The 2002 IEEE International Conference on Data Mining (http://kis.maebashi-it.ac.jp/icdm02/), The Industry Track Program Committee.

[2] The Seventh Pacific Rim International Conference on Artificial Intelligence (http://pricai-02.nii.ac.jp/), The 2nd Workshop on Chance Discovery (CDWS2) in PRICAI 2002 Program Committee.

[3] 2003 Information Resources Management Association International Conference (http://www.irma-international.org/call2003.htm): The Program Committee of IRMA'2003.

[4] First European Workshop on Chance Discovery in ECAI 2004 (EWCD-04), Program Committee. (http://technology.kingston.ac.uk/cis/people/Ruediger/ewcd/)

[5] 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.

[6] International Workshop on Chance Discovery: From Data Interaction to Scenario Creation, (In conjunction with the International Conference on Machine Learning, ICML2005), Program Committee.

[7] 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.

[8] Technical Committee Co-chairs of TC on Information Systems for Design and Marketing ( http://www.ieeesmc.org/technicalcommittess/tc_isdm.html ), IEEE Systems, Man & Cybernetics Society, 2006-present.

[9] 9th Joint Conference on Information Sciences, Special Session on Chance Discovery (http://www.jcis.org/index.html), Session Co-chairs.
[10] 2006 IEEE International Conference on SMC, Track on Tools for Discovery, Decision and Design, Track Organizers.
[11] 2006 AMA (American Marketing Association) Winter Educator's Conference, Session Chair.
[12] 2007 IEEE International Conference on SMC, PC member.

Research Interests

What Is Data Mining?

System Architecture

MUSASHI

Knowledge Discovery

Chance Discovery

Teaching (in Kansai Univ.)

Japanese



copyright(c)2005 Katsutoshi YADA All Right Reserved
Last Update: Mar/17/07