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