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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.
References
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Index Terms
Computer Science
Information Sciences
Keywords