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An Improved UP-Growth High Utility Itemset Mining
| 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
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.
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