DocumentCode :
144471
Title :
A Hybrid Approach for Predicting User´s Future Request
Author :
Sharma, K.K. ; Agrawal, Kunal
Author_Institution :
Bansal Inst. of Sci. &Technol., Bhopal, India
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
439
Lastpage :
443
Abstract :
Web Usage Mining (WUM) is the process of Automatic discovery from the web log files of user´s navigation pattern or how the user is accessing pages on World Wide Web (www).WUM is new in the research but gaining momentum for better management of Web-Server and efficiently manage Web Sites for disseminating information. This paper focuses on the combination of Association Rule, Frequent Pattern (Fp), Fp tree for Pattern discovery and Pattern Analysis. This paper describes the methodology in three simple steps which are being discussed in the paper.
Keywords :
Internet; Web sites; data mining; file servers; information dissemination; WUM; WWW; Web server; Web sites; Web usage mining; World Wide Web; association rule; automatic Web log file discovery; hybrid user future request prediction approach; information dissemination; pattern analysis; pattern discovery; user navigation pattern; Association rules; IP networks; Navigation; Pattern analysis; Servers; Web sites; Web Logs.; Web Usage Mining Frequent Pattern Tree Association Rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
Type :
conf
DOI :
10.1109/CSNT.2014.249
Filename :
6821434
Link To Document :
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