2002-A data mining based approach to a 3M problem in the context of electronic commerce

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3M

A data mining based approach to a 3M problem in the context of electronic

commerce

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3M Many Many Many Many Many Many 3M ( ) ( )3M Abstract

In the relationship between a customer and a web store, often a 3M relationship is ignored. For a customer, the purchasing activity is like a 3M game where many customers want to buy many products provided by many web stores. For a web store, it also follows the 3M that many web stores want to sell many products to many customers. It is believed that the future is a function of the past. Consequently, knowledge discovered in databases will be very valuable to EC customers and merchants. In this research project, an application model is introduced that the technique of knowledge discovery is employed to help reveal two types of information that embrace customer purchasing characteristics and target customer. A practical data set in the context of insurance is used to demonstrate the proposed application model.

Keywords: KDD, DM, financial services industry

[1, 2, 3, 4, 6, 17, 18]

Haffman [1] Harvard Business Review IBM [8] [2, 5, 7, 10, 20, 22] Data Mining [9, 10, 11, 12, 13, 17, 19, 24, 26, 27]

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(knowledge discovery in database)

[14, 15, 16, 21, 23]

Customer Relationship Management CRM

3M Many Many Many Many Many Many M Shaw [28]

Aha [14 ] (Bayesian Network)

AT&T (Response model)

Desarbo [15,16] CRISP Ahn [14]

AT&T Pitta[19] Kahan[21]

Jutkins[22]

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