DocumentCode :
2576736
Title :
Web mining framework for security in e-commerce
Author :
Manjusha, R. ; Ramachandran, R.
Author_Institution :
Dept. of Inf. Technol., Sathyabama Univ., Chennai, India
fYear :
2011
fDate :
3-5 June 2011
Firstpage :
1043
Lastpage :
1048
Abstract :
This paper is based on e-commerce web sites how to use web mining technology for providing security on e-commerce web sites. The connection between web mining, security and e-commerce analyzed based on user behavior on web. Different web mining algorithms and security algorithm are used to provided security on e-commerce web sites. Based on customer behavior different web mining algorithms like page rank algorithm and trust rank algorithm is used for developing web mining framework in e-commerce web sites. We have developed false hit database algorithm and nearest neighbor algorithm to provide security on e-commerce web site. In existing web mining framework is based on only web content mining, We have proposed Web mining framework system which is based on web structure mining analysis, Web Content Mining analysis, decision analysis and security analysis.
Keywords :
Internet; Web sites; data mining; electronic commerce; learning (artificial intelligence); security of data; Web content mining analysis; Web mining algorithms; Web structure mining analysis; decision analysis; e-commerce Web sites; false hit database algorithm; nearest neighbor algorithm; page rank algorithm; security algorithm; security analysis; trust rank algorithm; user behavior; Algorithm design and analysis; Databases; Joining processes; Security; Web mining; Web sites; E-commerce; Security; Web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4577-0588-5
Type :
conf
DOI :
10.1109/ICRTIT.2011.5972310
Filename :
5972310
Link To Document :
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