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An Improved UP-Growth High Utility Itemset Mining

by Adinarayanareddy B, O. Srinivasa Rao, Mhm Krishna Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 2
Year of Publication: 2012
Authors: Adinarayanareddy B, O. Srinivasa Rao, Mhm Krishna Prasad
10.5120/9255-3424

Adinarayanareddy B, O. Srinivasa Rao, Mhm Krishna Prasad . An Improved UP-Growth High Utility Itemset Mining. International Journal of Computer Applications. 58, 2 ( November 2012), 25-28. DOI=10.5120/9255-3424

@article{ 10.5120/9255-3424,
author = { Adinarayanareddy B, O. Srinivasa Rao, Mhm Krishna Prasad },
title = { An Improved UP-Growth High Utility Itemset Mining },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 2 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number2/9255-3424/ },
doi = { 10.5120/9255-3424 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:31.048347+05:30
%A Adinarayanareddy B
%A O. Srinivasa Rao
%A Mhm Krishna Prasad
%T An Improved UP-Growth High Utility Itemset Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 2
%P 25-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Efficient discovery of frequent itemsets in large datasets is a crucial task of data mining. In recent years, several approaches have been proposed for generating high utility patterns, they arise the problems of producing a large number of candidate itemsets for high utility itemsets and probably degrades mining performance in terms of speed and space. Recently proposed compact tree structure, viz. , UP-Tree, maintains the information of transactions and itemsets, facilitate the mining performance and avoid scanning original database repeatedly. In this paper, UP-Tree (Utility Pattern Tree) is adopted, which scans database only twice to obtain candidate items and manage them in an efficient data structured way. Applying UP-Tree to the UP-Growth takes more execution time for Phase II. Hence this paper presents modified algorithm aiming to reduce the execution time by effectively identifying high utility itemsets.

References
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Index Terms

Computer Science
Information Sciences

Keywords

High utility itemsets Transaction Weight Utilization Utility Mining Discarding

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