DocumentCode :
2982615
Title :
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
Link To Document :
بازگشت