Abstract
MUSASHI is a set of commands which enables us to efficiently execute various types of data manipulations in a flexible manner, mainly aiming at data processing of huge amount of data required for data mining. Data format which MUSASHI can deal with is either an XML table written in XML or plain text file with table structure. In this paper we shall present a business application system of MUSASHI, called C-MUSASHI, dedicated to CRM oriented systems. Integrating a large amount of customer purchase histories in XML databases with the marketing tools and data mining technology based on MUSASHI, C-MUSASHI offers various basic tools for customer analysis and store management based on which data mining oriented CRM systems can be developed at extremely low cost. We apply C-MUSASHI to supermarkets and drugstores in Japan to discover useful knowledge for their marketing strategy and present possibility to construct useful CRM systems at extremely low cost by introducing MUSASHI.
Research of this paper is partly supported by the Grant-in-Aid for Scientific Research on Priority Areas (2) by the Ministry of Education, Science, Sports and Culture of Japan and the Kansai University Special Research fund, 2002.
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References
Blattberg, R.C., Getz, G., Thomas, J.S.: Customer Equity: Building and Managing Relationships as Valuable Assets. Harvard Business School Press, Boston (2001)
Fujisawa, K., Hamuro, Y., Katoh, N., Tokuyama, T., Yada, K.: Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming. In: Arikawa, S., Furukawa, K. (eds.) DS 1999. LNCS (LNAI), vol. 1721, pp. 148–159. Springer, Heidelberg (1999)
Hamuro, Y., Katoh, N., Yada, K.: Data Mining oriented System for Business Applications. In: Arikawa, S., Motoda, H. (eds.) DS 1998. LNCS (LNAI), vol. 1532, pp. 441–442. Springer, Heidelberg (1998)
Hamuro, Y., Katoh, N., Matsuda, Y., Yada, K.: Mining Pharmacy Data Helps to Make Profits. Data Mining and Knowledge Discovery 2, 391–398 (1998)
Hamuro, Y., Katoh, N., Yada, K.: MUSASHI: Flexible and Efficient Data Preprocessing Tool for KDD based on XML. In: DCAP 2002 Workshop held in conjunction with ICDM 2002, pp. 38–49 (2002)
Hawkins, G.E.: Building the Customer Specific Retail Enterprise. Breezy Heights Publishing (1999)
Hedley, B.: Strategy and the business portfolio. Long Range Planning 10(1), 9–15 (1977)
Hughes, A.M.: Strategic Database Marketing. The McGraw-Hill, New York (1994)
Ip, E., Johnson, J., Yada, K., Hamuro, Y., Katoh, N., Cheung, S.: A Neural Network Application to Identify High-Value Customer for a Large Retail Store in Japan. In: Neural Networks in Business: Techniques and Applications, pp. 55–69. Idea Group Publishing, USA (2002)
Ip, E., Yada, K., Hamuro, Y., Katoh, N.: A Data Mining System for Managing Customer Relationship. In: Proceedings of the 2000 Americas Conference on Information Systems, pp. 101–105 (2000)
MUSASHI: Mining Utilities and System Architecture for Scalable processing of Historical data., http://musashi.sourceforge.jp/
Reed, T.: Measure Your Customer Lifecycle. DM News 33(21), 23 (1999)
Rongstad, N.: Find Out How to Stop Customers from Leaving. Target Marketing 7(22), 28–29 (1999)
Woolf, B.P.: Customer Specific Marketing. Teal Books (1993)
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Yada, K. et al. (2005). Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI. In: Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H. (eds) Active Mining. Lecture Notes in Computer Science(), vol 3430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423270_9
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DOI: https://doi.org/10.1007/11423270_9
Publisher Name: Springer, Berlin, Heidelberg
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