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Published in:

Volume 2 Issue 12
December-2015
eISSN: 2349-5162

Unique Identifier

JETIR1512016

Page Number

94-100

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Title

Efficient Log Mining from Web Server Using Clustering Technique

ISSN

2349-5162

Cite This Article

"Efficient Log Mining from Web Server Using Clustering Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.94-100, December-2015, Available :http://www.jetir.org/papers/JETIR1512016.pdf

Abstract

In this, Web Usage Mining is used to discover interesting patterns in accesses to various Web pages within the Web space associated with a particular server. The Web Usage Mining architecture is divided into two main parts- the first part includes preprocessing and data integration components. The second part includes the largely domain independent application of finally Cleaned data and database file generation. This research work will take less time compare to the existing algorithms. This research work is mainly composed of dynamic web log preprocessing for mined in different applications.

Key Words

Log Files , Web Log Preprocessing, Data Mining, Web Mining, Web Content Mining, Web Usage Mining, Web Structure Mining

Cite This Article

"Efficient Log Mining from Web Server Using Clustering Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp94-100, December-2015, Available at : http://www.jetir.org/papers/JETIR1512016.pdf

Publication Details

Published Paper ID: JETIR1512016
Registration ID: 150840
Published In: Volume 2 | Issue 12 | Year December-2015
DOI (Digital Object Identifier):
Page No: 94-100
ISSN Number: 2349-5162

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Cite This Article

"Efficient Log Mining from Web Server Using Clustering Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp94-100, December-2015, Available at : http://www.jetir.org/papers/JETIR1512016.pdf




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