The application of improved association rules data mining algorithm Apriori in CRM

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/52493

Title: The application of improved association rules data mining algorithm Apriori in CRM
Author(s): Gong, Peng; Yang, Chi; Li, Hui; Weili, Kou
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.
Publication type: Conference paper
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Information Technology Research
Source: Proceedings of the 2nd International Conference on Pervasive Computing and Applications (ICPCA'07), Birmingham, United Kingdom, 26-27 July 2007, pp. 95-99
Publication year: 2007
Keyword(s): Algorithms; Association rules Apriori algorithm; CRM; Cross-selling analysis; Customer Relationship Management Systems; Data mining; Data processing; Database systems; Improved Apriori algorithms
Publisher: IEEE
ISBN: 9781424409716, 1424409713
Publisher URL: http://dx.doi.org/10.1109/ICPCA.2007.4365419
Peer reviewed