The Application of Improved Association Rules Data Mining Algorithm Apriori in CRM

Author

Gong, Peng ; Yang, Chi ; Li, Hui ; Weili Kou

Author_Institution

Shandong Univ., Weihai

fYear

2007

fDate

26-27 July 2007

Firstpage

95

Lastpage

99

Abstract

Based on customer relationship management system of ShanHua carpet company, this paper introduces an improved data mining association rules Apriori algorithm and its deployment to Shanhua group Cross-selling analysis. The deployment of the Apriori algorithm deletes lots of invalid business, reduces the records for the following scanning, which raises the efficiency of data mining. At the same time, with the deduction of the business, the scale of database will also decrease. Consequently, the scanning time will be saved and the processing efficiency will be enhanced.

Keywords

customer relationship management; data mining; ShanHua Carpet Company; association rules; cross-selling analysis; customer relationship management system; data mining algorithm; Algorithm design and analysis; Application software; Association rules; Companies; Customer relationship management; Data mining; Databases; Information analysis; Information technology; Marketing and sales; Association Rules Apriori Algorithm; CRM; Cross-selling Analysis; Improved Apriori Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on

Conference_Location

Birmingham

Print_ISBN

978-1-4244-0971-6

Electronic_ISBN

978-1-4244-0971-6

Type

conf

DOI

10.1109/ICPCA.2007.4365419

Filename

4365419