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Reseach Article

Efficient Discovery of Frequent Patterns using KFP-Tree from Web Logs

by Shyam Sundar Meena
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 10
Year of Publication: 2012
Authors: Shyam Sundar Meena
10.5120/7662-0770

Shyam Sundar Meena . Efficient Discovery of Frequent Patterns using KFP-Tree from Web Logs. International Journal of Computer Applications. 49, 10 ( July 2012), 15-18. DOI=10.5120/7662-0770

@article{ 10.5120/7662-0770,
author = { Shyam Sundar Meena },
title = { Efficient Discovery of Frequent Patterns using KFP-Tree from Web Logs },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 10 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number10/7662-0770/ },
doi = { 10.5120/7662-0770 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:55.101728+05:30
%A Shyam Sundar Meena
%T Efficient Discovery of Frequent Patterns using KFP-Tree from Web Logs
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 10
%P 15-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Frequent pattern discovery is a heavily focused area in data mining. Discovering concealed information from Web log data is called Web usage mining. Web usage mining discovers interesting and frequent user access patterns from web logs. This paper contains a novel approach, based on k-mean and frequent pattern tree (FP-tree), for frequent pattern mining from Weblog data.

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Index Terms

Computer Science
Information Sciences

Keywords

Web mining Pattern discovery k-mean FP-tree