Applying Fuzzy Data Mining for an Application CRM

Chien-Hua Wang, Chin-Tzong Pang


In the era of great competition, understanding and satisfying customers requirements are the critical tasks for a company to make a profits. Customer relationship management (CRM) thus becomes an important business issue at present. With the help of the data mining techniques, the manager can explore and analyze from a large quantity of data to discover meaningful patterns and rules. Among all methods, well-known association rule is most commonly seen. This paper is based on Apriori algorithm, using data mining to discover fuzzy classification rules. The mined results can be applied in CRM to help decision marker make correct business decisions for marketing strategies.


Customer relationship management (CRM); Data mining; Apriori algorithm; Fuzzy classification rules

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