slugMaintaining Data Security In Privacy Preserving Association Rule Mining
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
Abstract
This paper is based on the various data mining techniques which are used to detect some unwanted transaction in data base. Our approach concentrates on mining data dependencies among data items in the database. A data dependency collier is designed for mining data correlations from the database. The transactions not amenable to the data dependencies mined are identified as mischievous transactions. The practical state that the proposed method works effectively for detecting malicious transactions provided certain data dependencies exist in the database. In particular, recent advances in the data mining field have lead to increased agitation about privacy. While the subject of privacy has been uniquely studied with respect of cryptography recent work in data mining field has lead to renewed interest in the field. In this paper, we will introduce the topic of privacy-preserving data mining and provide an overview of the different topics covered in this paper. .
Authors and Affiliations
Adesh chaudhary, Krishna Pratap Rao, Prashant Johri
Keywords
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- EP ID EP18348
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