Research Article
An Enhanced Frequent Pattern Analysis Technique from the Web Log Data
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 131 - Issue 15 |
| Published: December 2015 |
| Authors: Samiksha Kankane, Vikram Garg |
10.5120/ijca2015906904
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Samiksha Kankane, Vikram Garg . An Enhanced Frequent Pattern Analysis Technique from the Web Log Data. International Journal of Computer Applications. 131, 15 (December 2015), 7-9. DOI=10.5120/ijca2015906904
@article{ 10.5120/ijca2015906904,
author = { Samiksha Kankane,Vikram Garg },
title = { An Enhanced Frequent Pattern Analysis Technique from the Web Log Data },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 131 },
number = { 15 },
pages = { 7-9 },
doi = { 10.5120/ijca2015906904 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Samiksha Kankane
%A Vikram Garg
%T An Enhanced Frequent Pattern Analysis Technique from the Web Log Data%T
%J International Journal of Computer Applications
%V 131
%N 15
%P 7-9
%R 10.5120/ijca2015906904
%I Foundation of Computer Science (FCS), NY, USA
Abstract
To improve user experience while accessing the, website. Web usage mining is used to evaluate user’s previous experiences, which helps to improve functionality of that website. In this paper a technique for web usage mining is proposed, which extends features of synaptic search and Frequent Pattern Growth algorithm. Proposed technique uses synaptic search property to search data on web on the basis of location and uses FP growth algorithm to generate results.
References
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