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Reseach Article

Extracting User Interest from Web Log Data and Web usage Mining using Web Services

Published on None 2011 by Prof. Thippeswamy.K, Dr. Manjaiah.D.H
journal_cover_thumbnail
International Conference on Emerging Technology Trends
Foundation of Computer Science USA
ICETT2011 - Number 3
None 2011
Authors: Prof. Thippeswamy.K, Dr. Manjaiah.D.H
a13bd5dc-432e-4c2a-9cfb-a9379f9f687a

Prof. Thippeswamy.K, Dr. Manjaiah.D.H . Extracting User Interest from Web Log Data and Web usage Mining using Web Services. International Conference on Emerging Technology Trends. ICETT2011, 3 (None 2011), 46-52.

@article{
author = { Prof. Thippeswamy.K, Dr. Manjaiah.D.H },
title = { Extracting User Interest from Web Log Data and Web usage Mining using Web Services },
journal = { International Conference on Emerging Technology Trends },
issue_date = { None 2011 },
volume = { ICETT2011 },
number = { 3 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 46-52 },
numpages = 7,
url = { /proceedings/icett2011/number3/3513-icett023/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emerging Technology Trends
%A Prof. Thippeswamy.K
%A Dr. Manjaiah.D.H
%T Extracting User Interest from Web Log Data and Web usage Mining using Web Services
%J International Conference on Emerging Technology Trends
%@ 0975-8887
%V ICETT2011
%N 3
%P 46-52
%D 2011
%I International Journal of Computer Applications
Abstract

The rapid growth of internet has pushed the research and development of web usage mining even more into focus. Analyzing user’s web log data and extracting their interests are important and challenging research topics of web usage mining. User’s web watching behaviors can be regarded as a graph since visited Web sites and entered search keywords are connected with each other in a time sequence. In this paper we present a novel approach of extracting user’s interests from Web Log Data using Weighted Page Rank Algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Web log web services web usage URL WPR