DocumentCode :
2636730
Title :
A Customer Data Mining Model Based on Fuzzy BP Neural Network
Author :
Jie Cao ; Ming-Zan Wu
Author_Institution :
Dept. of E-Bus., Nanjing Univ. of Finance & Econ., Nanjing
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
307
Lastpage :
307
Abstract :
In this paper, we adopt a new synergetic algorithm, and according to the size of user vector intersection to select the nearest neighbors´ collection, and use fuzzy BP neural network to forecast the score of user appraising to the option. The algorithm decreases sparseness of the nearest candidate data collect.ion and avoids the disadvantage of dimensionality reduction method. Living example simulation indicates: this method raises the forecast accuracy, and raises the selection quality of e-commerce Web Site selection system.
Keywords :
backpropagation; customer services; data mining; electronic commerce; fuzzy neural nets; customer data mining model; dimensionality reduction method; e-commerce Web Site selection system; fuzzy BP neural network; Arithmetic; Business; Data analysis; Data mining; Economic forecasting; Filtration; Fuzzy neural networks; Nearest neighbor searches; Neural networks; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.18
Filename :
4603496
Link To Document :
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