DocumentCode :
502702
Title :
Application of data mining technique in data transmission of E-commerce based on combined grey neural network
Author :
Sanyuan, Shi ; Yongmei, Zuo
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
Volume :
2
fYear :
2009
fDate :
8-9 Aug. 2009
Firstpage :
403
Lastpage :
406
Abstract :
Using grey system, data mining technology and radial basis function neural network, the grey system combined model and neural network, is setup, which is a effective model and the key to solve the data safety. The results show that GM is an effective way and has perfect ability to be studied and mapped in predicting data safety in the short-term period. The combined model with grey system and neural network has the properties of trend and fluctuation while the condition is combining with the time-dependent sequence data in prediction of data transmission during e-commerce activities. It is concluded that great improvement is obtained while comparing with the methods of trend prediction and simple factor in combined model of grey system and neural network.
Keywords :
data communication; data mining; electronic commerce; neural nets; radial basis function networks; safety; security of data; combined grey neural network; data mining technique; data safety; data transmission; e-commerce; radial basis function neural network; Civil engineering; Computer networks; Data analysis; Data communication; Data engineering; Data mining; Data security; Neural networks; Predictive models; Safety; E-commerce; combined grey neural network; data mining; data transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
Type :
conf
DOI :
10.1109/CCCM.2009.5267454
Filename :
5267454
Link To Document :
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