DocumentCode
3291035
Title
Application of Information Technology in Enterprise E-Commerce Based on Grey Relational Clustering and Data Mining
Author
Qu Zhiming
Author_Institution
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
6-7 June 2009
Firstpage
7
Lastpage
10
Abstract
Mining the implicit laws of poor information in the database is the important problems which need to be solved presently. Clustering analysis plays very important role in mining the data. The grey trend relation (GTR) clustering involved in the grey trend relation system is a good way to find the poor information in order to find the useful information to make decision, which is also an implement and development in data mining. Combining with the grey trend relation and using the general mathematical system theory, the GTR system model are setup. Through analyzing the data of sale system, it is can be seen that some different commodities in sale increment are similar and there are a few of different classification. Comparing with the real sale records, it is found that the results by the GTR clustering are in keeping with the investigation in the sale system.
Keywords
data mining; electronic commerce; pattern clustering; clustering analysis; data mining; enterprise e-commerce; grey relational clustering; grey trend relation clustering; information technology; Artificial intelligence; Civil engineering; Data analysis; Data engineering; Data mining; Delta modulation; Information technology; Marketing and sales; Mathematical model; Relational databases; data mining; grey relation; grey trend relation clustering; information technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3646-0
Type
conf
DOI
10.1109/WMWA.2009.20
Filename
5232455
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