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A Time Efficient Algorithm for Web Log Analysis

by Santosh Shakya, Anju Singh, Divakar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 9
Year of Publication: 2013
Authors: Santosh Shakya, Anju Singh, Divakar Singh
10.5120/13140-0533

Santosh Shakya, Anju Singh, Divakar Singh . A Time Efficient Algorithm for Web Log Analysis. International Journal of Computer Applications. 75, 9 ( August 2013), 23-30. DOI=10.5120/13140-0533

@article{ 10.5120/13140-0533,
author = { Santosh Shakya, Anju Singh, Divakar Singh },
title = { A Time Efficient Algorithm for Web Log Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 9 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number9/13140-0533/ },
doi = { 10.5120/13140-0533 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:50.629095+05:30
%A Santosh Shakya
%A Anju Singh
%A Divakar Singh
%T A Time Efficient Algorithm for Web Log Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 9
%P 23-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The world of web is very diverse and contains huge amount of information. To obtain relevant information from the www is a challenging task today. To ensure the retrieval of pertinent information, suitable web mining techniques can be applied. From the perspective of a web designer it is important to know about the web surfing behavior of a user which can be accomplished by using the web log that captures the history of user activities. There are a number of algorithms which can be used for analyzing web log, however choosing the appropriate algorithm is important to retrieve the required data in less amount of time. This paper proposes a new time efficient algorithm which is work for web log analysis and is very time efficient to the other web log algorithms.

References
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  2. M. P. Yadav, P. Keserwani "An Efficient Web Mining Algorithm for Web Log Analysis: E-Web Miner",978-1-4577-0697-4/12/$26. 00 ©2012 IEEE.
  3. W. Tong, He Pi-Lian "Web Log Mining By Improved AprioriAll Algorithm" World Academy of Science, Engineering and Technology 4 2007.
  4. K. Vanitha And R. Santhi " Using Hash Based Apriori Algorithm To Reduce The Candidate 2- Itemsets For Mining Association Rule", Journal Of Global Research In Computer Science, Volume 2, No. 5, April 2011
  5. Web reference: http://www. cl. cam. ac. uk/teaching/1011/CompSysMod/RandBits_Lec1V2. pdf
  6. Michele Rousseau "Lecture Notes for summer, 2008 Software tools and methods"
  7. Web reference: http://jcmc. indiana. edu/vol6/issue3/burton. html [As accessed on: 23-april-2013]
Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Web Log.

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