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Studies on Research and Development in Web Mining

by Pawan Singh, Amit Kumar, Prashast
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 9
Year of Publication: 2012
Authors: Pawan Singh, Amit Kumar, Prashast
10.5120/6293-8490

Pawan Singh, Amit Kumar, Prashast . Studies on Research and Development in Web Mining. International Journal of Computer Applications. 44, 9 ( April 2012), 28-32. DOI=10.5120/6293-8490

@article{ 10.5120/6293-8490,
author = { Pawan Singh, Amit Kumar, Prashast },
title = { Studies on Research and Development in Web Mining },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 9 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number9/6293-8490/ },
doi = { 10.5120/6293-8490 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:07.383788+05:30
%A Pawan Singh
%A Amit Kumar
%A Prashast
%T Studies on Research and Development in Web Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 9
%P 28-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

World Wide Web has changing into one amongst the foremost comprehensive data resources. It most likely, if not perpetually, covers the data requirement for any user. However the net demonstrates several radical variations to traditional information containers such as databases in schema, volume, topic coherence etc. Web mining techniques could be applied to fully use web information in an effective and efficient manner, partially or completely. However, mining techniques are not the only tools to use web information efficiently but the mining techniques are the best solution. In this paper we study Web mining, Web mining categories and overview of various research issues and development efforts in web mining.

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Index Terms

Computer Science
Information Sciences

Keywords

World Wide Web Web Mining Data Mining

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