UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 11
November-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701590


Registration ID:
315602

Page Number

1230-1237

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Title

MHU-ISM: MINING HIGH UTILITY ITEM SETS MINING IN TRANSACTIONAL DATABASES

Abstract

High utility pattern mining is the discovery of groups of patterns that not only co-occur but also carry a high return. For candidate creation in two-phase pattern mining, an Apriori method is employed. However, candidate generation is expensive, and if the number of candidates is large, scalability and efficiency become bottleneck issues. Many attempts have been made to reduce the number of candidates produced in the first phase, but the problem remains when the raw data includes a large number of transactions or the minimal utility criterion is too low. The MHU-ISM technique for High Utility Mining was suggested in this article. This takes into account not just the frequency of the itemsets but also the usefulness connected with the itemsets. The word utility relates to the significance or usefulness of the appearance of the itemset in transactions, as measured in measures such as profit, sales, or any other user preferences. The goal of High Utility Itemset Mining is to find itemsets with utility values greater than a certain threshold. Some high utility itemset mining methods, such as second-Phase and FP-Growth, have been suggested in current systems. This approach is a memory-efficient way for mining high-utility item sets from transactional databases. This method uses less memory space and takes less time to execute than current techniques.

Key Words

HUI, FP-Growth, Utility pattern mining, HTM, MHU-ISM

Cite This Article

"MHU-ISM: MINING HIGH UTILITY ITEM SETS MINING IN TRANSACTIONAL DATABASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 11, page no.1230-1237, November-2015, Available :http://www.jetir.org/papers/JETIR1701590.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MHU-ISM: MINING HIGH UTILITY ITEM SETS MINING IN TRANSACTIONAL DATABASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 11, page no. pp1230-1237, November-2015, Available at : http://www.jetir.org/papers/JETIR1701590.pdf

Publication Details

Published Paper ID: JETIR1701590
Registration ID: 315602
Published In: Volume 2 | Issue 11 | Year November-2015
DOI (Digital Object Identifier):
Page No: 1230-1237
Country: Coimbatore, tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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