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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812979

Page Number

548-553

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Title

Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value

ISSN

2349-5162

Cite This Article

"Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.548-553, December-2018, Available :http://www.jetir.org/papers/JETIR1812979.pdf

Abstract

Abstract: This paper is Efficient Closed Frequent Sequence Pattern Mining using Binary Representation with Same Support Threshold Value (ECloSPAM). The objective of this research paper is to find the closed frequent item sets from massive sequence database. The ECloSPAM discovers less numbers of closed patterns in sequence databases. The experimental assessment is shown that the proposed algorithm efficient than previous closed pattern mining algorithm. The Same Support Value is used to prune search space accordingly by the given min_sup value.

Key Words

Pattern Mining, Same Support Value, Closed Frequent, Frequent item

Cite This Article

"Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp548-553, December-2018, Available at : http://www.jetir.org/papers/JETIR1812979.pdf

Publication Details

Published Paper ID: JETIR1812979
Registration ID: 194281
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 548-553
ISSN Number: 2349-5162

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Cite This Article

"Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp548-553, December-2018, Available at : http://www.jetir.org/papers/JETIR1812979.pdf




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