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Reseach Article

An Survey of Approaches for Mining Documents on Web based on User based Analysis

Published on June 2013 by S.senthilkumar, G.tholkappia Arasu
International Conference on Innovation in Communication, Information and Computing 2013
Foundation of Computer Science USA
ICICIC2013 - Number 3
June 2013
Authors: S.senthilkumar, G.tholkappia Arasu
869d0552-1f5c-41ef-9b5d-660b1bb9724f

S.senthilkumar, G.tholkappia Arasu . An Survey of Approaches for Mining Documents on Web based on User based Analysis. International Conference on Innovation in Communication, Information and Computing 2013. ICICIC2013, 3 (June 2013), 13-17.

@article{
author = { S.senthilkumar, G.tholkappia Arasu },
title = { An Survey of Approaches for Mining Documents on Web based on User based Analysis },
journal = { International Conference on Innovation in Communication, Information and Computing 2013 },
issue_date = { June 2013 },
volume = { ICICIC2013 },
number = { 3 },
month = { June },
year = { 2013 },
issn = 0975-8887,
pages = { 13-17 },
numpages = 5,
url = { /proceedings/icicic2013/number3/12274-0155/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovation in Communication, Information and Computing 2013
%A S.senthilkumar
%A G.tholkappia Arasu
%T An Survey of Approaches for Mining Documents on Web based on User based Analysis
%J International Conference on Innovation in Communication, Information and Computing 2013
%@ 0975-8887
%V ICICIC2013
%N 3
%P 13-17
%D 2013
%I International Journal of Computer Applications
Abstract

Web documents contain information that include image, video. The retrieved information are oriented towards the user's input for search. But the popular search engines like google uses algorithms for prioritizing and retrieving the results. However the information accessed also depends on the cookies as part of the local system. In real requirements based on the category , type and interest of users it is required to provide contents. This paper has a complete survey of different approaches/algorithms that are in existence for analyzing the web documents and providing to the user. The paper has a complete study of the different performance parameters that can be used for analyzing the results. The paper also draws conclusions for selecting the appropriate approach based on different scenarios and different user input criteria provided by users.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Model Cluster Threshold Filtering Classification Agent Learning