Data Warehousing and Data Mining Technology Implementation in Jpeen_CRM System Design

Heng Ding; Qian Yuan Zhang; Yan Ping Wang; Yan Jiang

doi:10.4028/www.scientific.net/AMM.610.769

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Data Warehousing and Data Mining Technology Implementation in Jpeen_CRM System Design
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 610Data Warehousing and Data Mining Technology...

Data Warehousing and Data Mining Technology Implementation in Jpeen_CRM System Design

Abstract:

In this paper, on the basis of in-depth study of data warehouse, OLAP, data mining and other key technologies, according to the characteristics of the Jpeen customer relationship management (Jpeen_CRM), developed a Web-based customer relationship management system. First of all, research the demand for Jpeen company and create Jpeen_CRM data warehouse. Second, create the OLAP multidimensional cube which is applied to the analysis of customer transactions. Using the decision tree algorithm to create mining models for customers to choose glasses, and gives pruning optimize decision tree. Using decision tree to classify users and recommend them the hot products they prefer. Finally, realize the Jpeen_CRM on J2EE platform, provide a decision support for Jpeen company to better serve customers and make the company itself have the advantages in a competitive environment.