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Reseach Article

Mining High Utility Itemsets from Large Dynamic Dataset by Eliminating Unusual Items

by Switi C. Chaudhari, Vijay Kumar Verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 14
Year of Publication: 2013
Authors: Switi C. Chaudhari, Vijay Kumar Verma
10.5120/13550-1315

Switi C. Chaudhari, Vijay Kumar Verma . Mining High Utility Itemsets from Large Dynamic Dataset by Eliminating Unusual Items. International Journal of Computer Applications. 77, 14 ( September 2013), 12-18. DOI=10.5120/13550-1315

@article{ 10.5120/13550-1315,
author = { Switi C. Chaudhari, Vijay Kumar Verma },
title = { Mining High Utility Itemsets from Large Dynamic Dataset by Eliminating Unusual Items },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 14 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number14/13550-1315/ },
doi = { 10.5120/13550-1315 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:24.733491+05:30
%A Switi C. Chaudhari
%A Vijay Kumar Verma
%T Mining High Utility Itemsets from Large Dynamic Dataset by Eliminating Unusual Items
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 14
%P 12-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Utility-based data mining is a new research area interested in all types of utility factors in data mining processes [1]. The basic meaning of utility is the quantity sold, interest, importance & profitability of items to the users. Utility of items in a transaction database consists of two aspects: 1. The importance of distinct or unique items, which is called external utility. 2. The importance of the items in the transaction, w is called as internal utility. Mining high utility itemsets from the databases is not an easy task. Pruning search space for high utility itemset mining is difficult because a superset of a low utility itemset may be a high utility itemset. Existing studies [2,4,9] applied overestimated methods to facilitate the mining performance of utility mining. In these methods, first we will get potential high utility itemsets, and then an additional database scan is performed for identifying their utilities. However, the existing methods often generate a huge candidate itemsets and the mining performance is degraded consequently. In this paper we proposed Eliminating Unusual Itemset by Eliminating item set which is low utility item set to reduce search space. Proposed methods not only reduce the number of candidate itemsets, but also significantly increase the performance of the mining process.

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Index Terms

Computer Science
Information Sciences

Keywords

High Utility Mining Frequent Itemset Mining Eliminating Unusual Itemset Profit Quantity