DocumentCode :
1891390
Title :
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
Link To Document :
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