Title :
Customer segmentation based on ant clustering algorithm
Author :
Yuanli, Tian ; Liangshan, Shao
Author_Institution :
Coll. of Postgrad., Liaoning Tech. Univ., Huludao, China
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;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643876
