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A Data Mining Scheme for Customer Knowledge Management

Zhenhong Xiao, Fayin Wang


This paper focuses on discussing the application of data mining method in the customer knowledge management, and analyzes how to obtain the customer knowledge by means of data mining method. First this paper has referred to knowledge and theories relevant to data mining technology’s application in customer knowledge management, clarifying the application process and domain of data mining method in the customer knowledge management, based on which this paper has applied clustering method and established a data warehouse based on data digging technology. Finally, by talking the example of customer knowledge acquisition in Shangri-La Hotel, this paper applies improved Apriori Algorithm to analyze the customer consumes preference. Moreover, this paper has recognized and generalized the problems that occurred in the practices and verified the feasibility of application of data mining method in the customer knowledge management.


Knowledge Management, Customer Knowledge Management, Data mining, Customer Knowledge Acquisition.

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