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An Enhanced Frequent Pattern Analysis Technique from the Web Log Data

by Samiksha Kankane, Vikram Garg
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 15
Year of Publication: 2015
Authors: Samiksha Kankane, Vikram Garg
10.5120/ijca2015906904

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 },
issue_date = { December 2015 },
volume = { 131 },
number = { 15 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number15/23524-2015906904/ },
doi = { 10.5120/ijca2015906904 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:27.767104+05:30
%A Samiksha Kankane
%A Vikram Garg
%T An Enhanced Frequent Pattern Analysis Technique from the Web Log Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 15
%P 7-9
%D 2015
%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
  1. Hao Yan, Bo Zhang, Yibo Zhang, Fang Liu, Zhenming Lei “Web usage mining based on WAN users behaviours” 2010.
  2. HuipingPeng ”Discovery of Interesting Association Rules Based on Web Usage Mining” 2010.
  3. IqbalGondal and Joarder Kamruzzaman Md. Mamunur Rashid, "Mining Associated Sensor Pattern for data stream oorks”Spain, 2013.
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  6. Luca Cagliero and Paolo Garza “Infrequent Weighted Itemset Mining using Frequent Pattern Growth”, IEEE Transactions on Knowledge and Data Engineering, 2013.
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  8. Rahul Mishra, AbhaChoubey “Discovery of Frequent Patterns From Web Log Data by using FP growth Algorithm for web usage mining” 2012.
  9. Samuel Gratzl, Alexander Lex, Nils Gehlenborg, HanspeterPfister and Marc Streit, “LineUp: Visual Analysis of Multi-Attribute Rankings” IEEE 2013.
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining FP Growth Synaptic Search Semantic Search Web Logs.

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