Development of analysis CRM in enterprise based on association rules mining

Lan Wang; HongSheng Xu

doi:10.1117/12.906278

28 October 2011 Development of analysis CRM in enterprise based on association rules mining

Lan Wang, HongSheng Xu

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82051R (2011) https://doi.org/10.1117/12.906278
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

Data Mining have many research points. Mining association rules is one of the important hotspot. CRM is to achieve the needs of customers and to enhance the strength with customers for enterprise. To sovle the different importance and unbalance of individual items in database, the paper will put the emphasis on mining the weighted association rules in analysis CRM. Analysis CRM in axletree firms is proposed based on integrating of data mining and association rules. This paper propose the algorithm Unid_FTP-TREE for frequent itemset in a unidirectional FTP-Tree. Algorithm analysis and experiments show that the Unid_FTP-TREE consumes more space and time than the mwf for the dense data.

Citation Download Citation

Lan Wang and HongSheng Xu "Development of analysis CRM in enterprise based on association rules mining", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051R (28 October 2011); https://doi.org/10.1117/12.906278

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