Record Details

Development of Transformationbased Privacy Preservation Methods For Data Mining

Shodhganga@INFLIBNET

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Title Development of Transformationbased Privacy Preservation Methods For Data Mining
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Contributor Ponnavaikko.M
 
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Description newline Data-mining is a task of discovering significant/salient
newlinepatterns/rules/results from a set of large amount of data stored in databases,
newlinedata warehouses or in other information repositories. Eventhough the focus on
newlinedata-mining technology has been on the discovery of general patterns (not on
newlineany specific information regarding individuals) some data-mining applications
newlinemay require access to individual s records having sensitive privacy data. Data
newlinecontaining structured information on individuals is referred to as micro-data.
newlineAbundance of recorded, personal information available in electronic form
newlinecoupled with increasingly powerful data-mining tools, poses a threat to
newlineprivacy and data security. The prime objective of this research is to find a
newlinesolution to this problem.
newlineEventhough, the identifying attributes are not published, some set
newlineof attributes in a released table (called quasi identifiers) may be linked with
newlineexternal data base leaking the sensitive data. To alleviate this problem, the so
newlinecalled K-anonymity and L-diversity principles and their improved versions
newlinehave been used popularly in the earlier research works. But, all such methods
newlinesuffer from proximity and divergence breach considerations
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Date 2014-04-21T04:15:25Z
2014-04-21T04:15:25Z
2014-04-21
10-08-2006
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Type Ph.D.
 
Identifier http://hdl.handle.net/10603/17841
 
Language English
 
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Rights university
 
Format —
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DVD
 
Coverage —
 
Publisher Kattankulathur
SRM University
Department of Computer Science Engineering
 
Source University