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Reseach Article

A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge

by Tina D�abreo, Anand Khandare, Prachi Janrao
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 6
Year of Publication: 2016
Authors: Tina D�abreo, Anand Khandare, Prachi Janrao
10.5120/ijais2016451617

Tina D�abreo, Anand Khandare, Prachi Janrao . A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge. International Journal of Applied Information Systems. 11, 6 ( Nov 2016), 12-15. DOI=10.5120/ijais2016451617

@article{ 10.5120/ijais2016451617,
author = { Tina D�abreo, Anand Khandare, Prachi Janrao },
title = { A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge },
journal = { International Journal of Applied Information Systems },
issue_date = { Nov 2016 },
volume = { 11 },
number = { 6 },
month = { Nov },
year = { 2016 },
issn = { 2249-0868 },
pages = { 12-15 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number6/946-2016451617/ },
doi = { 10.5120/ijais2016451617 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:04:18.905012+05:30
%A Tina D�abreo
%A Anand Khandare
%A Prachi Janrao
%T A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 6
%P 12-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web Pages which are recommended by the normal web page recommendation system are listed and are not clustered. The web search is based on keyword. The search engine does not understand the meaning of the searched query as it does not have a background domain knowledge of the searched query. The earlier search engine designed clustered the web pages according to static clusters formed [2]. As static clustering, faced some drawbacks of mapping the Web pages, there was a need to find the solution for the same. This paper presents a solution to form the clusters dynamically considering the domains for efficient clustering.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Semantic-based Mining Recommendation Systems Clustering Techniques