NDLI: Hiding co-occurring sensitive patterns in progressive databases

Content Provider	ACM Digital Library
Author	Mhatre, Amruta Toshniwal, Durga
Abstract	These days lot of work is been carried out in the field of privacy preserving data mining. Apart from the standard techniques of privacy preservation, methods are being proposed specific to the data mining tasks carried out. However most of these methods work on static databases. One such a method is downgrading application effectiveness. The effectiveness of applications may be downgraded by hiding sensitive association rules, hiding sensitive sets of patterns etc. Sometimes although a particular pattern is not interesting, its co-occurrence with another pattern may reveal certain sensitive information. In this paper we present a novel technique to hide sensitive co-occurring sequential patterns. The proposed method works on progressive databases. Progressive databases are a generalized model of static, dynamic and incremental databases. The applicability of the method is also extended to suit these different types of databases.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781605589909
DOI	10.1145/1754239.1754278
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-03-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Co-occurrence hiding Progressive databases Data mining Sequential pattern mining
Content Type	Text
Resource Type	Article

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Hiding co-occurring sensitive patterns in progressive databases