The Application of Improved Association Rules Data Mining Algorithm Apriori in CRM
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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.
[1] Michael J. A. Berry,et al. Mastering Data Mining: The Art and Science of Customer Relationship Management , 1999 .
[2] Rakesh Agarwal,et al. Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.
[3] Ying Zhao,et al. Developing the System of Web-Data Mining from Chemical Database Based on Internet , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).