International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : A Study on Mining High Utility Item sets for Promoting Business Activities

Authors:R. Sheeba Mary Ananthi || Dr. V. Joseph Peter

Abstract:In recent era, High Utility Itemset Mining (HUIM) is an emerging critical research topic. In traditional approach, the items which occur frequently together are extracted from a database. But the frequency of Itemset is not sufficient to reflect the actual utility. Utility mining is an extension of frequent Itemset mining by considering the utility of an item. Utility Mining is the process of discovering all item sets whose utility values are equal to or greater than the user specified threshold in a transaction database. Utility Mining covers all aspects of economic utility in data mining and helps in direction of itemset having high utility. The main objective of high utility itemset mining is to find the itemset having maximum utility values. We can extract the high utility from rare itemsets, irregular occurrence, from different discount strategies. In this paper, we present a various algorithms for High Utility Mining to promote business activities.

Keywords: high utility mining, on-shelf time, rare itemset, utility mining

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DOI: 01.1617/vol5/iss4/pid93021


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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