NDLI: An Approach for Web Pre-fetching to Enhance User Interaction of Web Application Using Markov Model

Content Provider	IEEE Xplore Digital Library
Author	Pal, M.B. Jain, D.C.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Shrivashnav Inst. of Sci. & Technol., Indore, India (Pal, M.B.; Jain, D.C.)
Abstract	With the growth of the internet, use of Web sites across the world has been increased rapidity. where each website having number of web pages, number of indexed Web pages of over 20 billion. With such a huge collection, a quick Web search and response to user's query is essential for effective utilization of the Web. Pre-fetching technique used time gap between consecutive requests from the same user in the Web environment and the Web server can use this time gap to pre-fetch the predicted pages. Successful perfecting will not only reduce the delays for users' requests for Web objects, but also result in less overall network traffic and lighter loads on the Web servers. This paper gives an methodology for web pre fetching that generate candidate key by using fp tree and apply weight mining over it after that by using markov model catch the page that need to be pre fetch in order to increase user performance.
Sponsorship	IEEE Comput. Soc.
Starting Page	373
Ending Page	377
File Size	353121
Page Count	5
File Format	PDF
e-ISBN	9781479930708
DOI	10.1109/CSNT.2014.80
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web pages Web mining Markov processes Web servers Log file Mathematical model Pre-fetching Web Services
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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