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Reseach Article

Mining Time Variant Frequent Pattern using PPM and PWM: A Comparison

by P. A. Shirsath, Vijay Kumar Verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 15
Year of Publication: 2013
Authors: P. A. Shirsath, Vijay Kumar Verma
10.5120/13558-1314

P. A. Shirsath, Vijay Kumar Verma . Mining Time Variant Frequent Pattern using PPM and PWM: A Comparison. International Journal of Computer Applications. 77, 15 ( September 2013), 12-17. DOI=10.5120/13558-1314

@article{ 10.5120/13558-1314,
author = { P. A. Shirsath, Vijay Kumar Verma },
title = { Mining Time Variant Frequent Pattern using PPM and PWM: A Comparison },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 15 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number15/13558-1314/ },
doi = { 10.5120/13558-1314 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:48:53.807307+05:30
%A P. A. Shirsath
%A Vijay Kumar Verma
%T Mining Time Variant Frequent Pattern using PPM and PWM: A Comparison
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 15
%P 12-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The process of exploring and analyzing data from different perspective, using automatic or semiautomatic techniques is called Data mining. Data mining extracts knowledge or useful information and discovers correlations or meaningful patterns and rules from large databases [1, 2]. Using these patterns and rules it is possible for business enterprises to identify new and unexpected trends, subtle relations in the data and use them to increase revenue and cut cost. In this paper we proposed a comparative study over Progressive Partition Miner (PPM) and Progressive Weighted miner (PWM).

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Index Terms

Computer Science
Information Sciences

Keywords

Progressive Partition Miner Weighted Comparative