Research about E-Commerce Customer Value Classification Based on Affiliations Cloud Clustering Algorithm

Author

Sa Li

Author_Institution

Coll. of Econ. & Manage., Liaoning Shihua Univ., Fushun, China

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

A flexible division method of customer value based on affiliation cloud clustering algorithm is proposed in order to solve the defects of the "hard division" about e-commerce customer value.The method puts cloud model into the qualify evaluation of the e-commerce customer value. Effectly divides the e-commerce customer value by affiliation cloud clustering algorithm and a uncertainty expression of knowledge is achieved.Experimental results show that this algorithm can describe the character of uncertainty and randomness of customer value classification.It also has perfect effect on classification.

Keywords

cloud computing; customer services; electronic commerce; marketing data processing; affiliation cloud clustering algorithm; customer value classification; e-commerce customer value classification; e-commerce marketing; flexible division method; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Data mining; Data models; Generators; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6579-8

Type

conf

DOI

10.1109/ICMSS.2011.5999187

Filename

5999187