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

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : A Modified Algorithm for finding Representative Pattern Sets

Authors:R.Prabamanieswari || D.S.Mahendran, T.C. Raja Kumar

Abstract:Many algorithms and techniques are developed for enumerating itemsets from transactional databases. They produce a large number of frequent itemsets when the minimum support threshold is low and /or the dataset is dense. A large number of discovered patterns makes further analysis of generated patterns troublesome. Therefore, it is important to find a small number of representative patterns to best approximate all other patterns. This paper modifies the algorithm MinRPset for finding representative pattern sets. It follows the same concepts such as - covered and greedy method in MinRPset but, it uses NCFP-tree instead of CFP-tree for storing frequent itemsets in a compressed manner. The experiment results show that our algorithm gives better execution time to generate representative patterns sets for the mushroom dataset in an efficient manner comparing to the algorithm MinRPset.

Keywords: Frequent itemset, NCFP-tree, greedy method, representative pattern sets

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DOI: 01.1617/vol5/iss3/pid64098


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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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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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