DocumentCode
3212259
Title
Customer segmentation based on ant clustering algorithm
Author
Yuanli, Tian ; Liangshan, Shao
Author_Institution
Coll. of Postgrad., Liaoning Tech. Univ., Huludao, China
Volume
1
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
133
Lastpage
136
Abstract
In this paper, we introduce the ant clustering algorithm which is based on ant clustering behavior, and apply the ant clustering algorithm to the client type of data mining. On this basis, we propose a customer clustering algorithm which is based on ant colony algorithm and data mining technology, using this method to achieve the classification of customers.
Keywords
combinatorial mathematics; consumer behaviour; customer services; data mining; pattern classification; pattern clustering; ant clustering algorithm; ant clustering behavior; customer segmentation; data mining; Adaptation model; Algorithm design and analysis; Business; Classification algorithms; Clustering algorithms; Data mining; Presses; Ant colony clustering algorithm; Customer segmentation; Data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643876
Filename
5643876
Link To Document