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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: A Comparative Analysis Of Various Association Rule Mining Algorithms
Authors Name: Triloki Prasad
Unique Id: IJSDR1705056
Published In: Volume 2 Issue 5, May-2017
Abstract: Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, we provide execution time related to association rule mining algorithms and survey the record of existing association rule mining methods and find out the fastest association rule mining algorithm. Obviously, a single article cannot be a entire review of the entire algorithms, yet we wish that the references cited will cover up the major theoretical issues, guiding the researcher in motivating research information that have yet to be explored.
Keywords: Association rule, Data mining, Classification, Java Program, Association Rule Mining, Large Dataset, Apriori, Eclate, F-P Growth.
Cite Article: "A Comparative Analysis Of Various Association Rule Mining Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.325 - 331, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705056.pdf
Downloads: 000102098
Publication Details: Published Paper ID: IJSDR1705056
Registration ID:170428
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 325 - 331
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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