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A Survey on Hash based A-priori 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 76 - Number 13
Year of Publication: 2013
Authors: Santosh Shakya, Anju Singh, Divakar Singh
10.5120/13311-0892

Santosh Shakya, Anju Singh, Divakar Singh . A Survey on Hash based A-priori Algorithm for Web Log Analysis. International Journal of Computer Applications. 76, 13 ( August 2013), 47-50. DOI=10.5120/13311-0892

@article{ 10.5120/13311-0892,
author = { Santosh Shakya, Anju Singh, Divakar Singh },
title = { A Survey on Hash based A-priori Algorithm for Web Log Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 13 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number13/13311-0892/ },
doi = { 10.5120/13311-0892 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:51.268639+05:30
%A Santosh Shakya
%A Anju Singh
%A Divakar Singh
%T A Survey on Hash based A-priori Algorithm for Web Log Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 13
%P 47-50
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper attempts to signify the importance of newest variation of data mining in form of web mining. The paper also discusses about some of the existing web log analysis algorithms. The previous some web mining algorithm working with different concepts gives effective result for the web mining. Presently the user want to execs the web pages or other web related applications very fast and very easily. Then arises a strong need for performing web log analysis for increases the performance the web log mining. However there exist many systems for performing the web log analysis, the results they generate are far from the expectations. In this paper present a new hash based Apriori algorithm which work very fast on the web server and give the effective result in comparison to previous algorithms.

References
  1. Web Reference: http://en. wikipedia. org/ wiki/Web log analysis software.
  2. U. D. S. V Prasad, Dr. K. Subramanyam, 2012, "An efficient pre-processing based mechanism for log files extraction in web usage mining" International Journal of Emerging Trends in Engineering and Development, Issue 2, Volume 7.
  3. M. P. Yadav, P. Keserwani, S. Ghosh,2012,An Efficient Web Mining Algorithm for Web Log Analysis: E-Web Miner 978-1-4577-0697-4/12/$26. 00 © IEEE.
  4. Tong, Wang and Pi-lian , He, 2005,"Web Log Mining by an Improved AprioriAll Algorithm" World Academy of Science, Engineering and Technology, Vol 4 pp 97-100.
  5. K. Vanitha and R. Santhi "Using Hash Based Apriori Algorithm to reduce Candidate 2-Item sets for mining association rules" Journal of Global Research in computer science, Volume 2, No. 5.
  6. Suneetha KR and Krishnamoorti R"Web Log Mining using Improved Version of Apriori Algorithm" International Journal of Computer Application, Volume 29-No. 6.
  7. K. Vanitha And R. Santhi, 2011, " Using Hash Based Apriori Algorithm To Reduce The Candidate 2- Item sets For Mining Association Rule", Journal Of Global Research In Computer Science, Volume 2, No. 5.
Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Web Usage Mining Web Log Hashing

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