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

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Hiding Sensitive Association Rule Constructed from Table

Authors:Ruchi . P. Kanekar || Professor Rachel Dhanaraj

Abstract:Data mining is a technique which is used by every fields and also gains lots of progress in organization. Data Mining secure the sensitive data in table by using data mining techniques. This paper proposes a methodology which hides the sensitive rules by using association rule hiding techniques so that they cannot be discovered through association rule mining algorithm but at the same time not losing the great benefit of association rule mining and try to hide more and more rules in tables. Data mining provides the opportunity to extract useful information from enormous amount of data..

Keywords: Association rule, Data Mining, Frequent Itemset, Knowledge Discovery in Database(KDD), Sensitive Rule.

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DOI: 01.1617/vol4/iss8/pid25467


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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


ACCEPTANCE RATIO

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


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