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Reseach Article

Agglomerative Clustering in Web Usage Mining: A Survey

by Karuna Katariya, Rajanikanth Aluvalu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 8
Year of Publication: 2014
Authors: Karuna Katariya, Rajanikanth Aluvalu
10.5120/15523-4306

Karuna Katariya, Rajanikanth Aluvalu . Agglomerative Clustering in Web Usage Mining: A Survey. International Journal of Computer Applications. 89, 8 ( March 2014), 24-27. DOI=10.5120/15523-4306

@article{ 10.5120/15523-4306,
author = { Karuna Katariya, Rajanikanth Aluvalu },
title = { Agglomerative Clustering in Web Usage Mining: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 8 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number8/15523-4306/ },
doi = { 10.5120/15523-4306 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:43.131570+05:30
%A Karuna Katariya
%A Rajanikanth Aluvalu
%T Agglomerative Clustering in Web Usage Mining: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 8
%P 24-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web Usage Mining used to extract knowledge from WWW. Nowadays interaction of user towards web data is growing, web usage mining is significant in effective website management, adaptive website creation, support services, personalization, and network traffic flow analysis and user trend analysis and user's profile also helps to promote website in ranking. Agglomerative clustering is a most flexible method and it is also used for clustering the web data in web usage mining, there are do not need the number of clusters as a input. Agglomerative have many drawbacks such as initial error propagation, dimensionality, complexity and data set size issues. In this paper we have introduced solution for data set size problem that helpful for information retrieve from large web data, web log data files are as a input for agglomerative clustering algorithms and output is efficient clustering that will be used further for information extraction in web usage mining.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Usage Mining Clustering Agglomerative Clustering