Share Email Print

Proceedings Paper

Development of analysis CRM in enterprise based on association rules mining
Author(s): Lan Wang; HongSheng Xu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 28 October 2011
PDF: 4 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051R (28 October 2011); doi: 10.1117/12.906278
Show Author Affiliations
Lan Wang, Luoyang Normal Univ. (China)
HongSheng Xu, Luoyang Normal Univ. (China)

Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top