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Toward Standardization in Privacy-Preserving Data Mining

Category: Data Management

Tags: data mining, data

Overview Issues about Privacy-Preserving Data Mining (PPDM) have emerged globally. The recent proliferation in PPDM techniques is evident. Motivated by the increasing number of successful techniques, the new generation in PPDM moves on toward standardization because it will certainly play an important role in the future of PPDM. This paper lays out what needs to be done and take some steps toward proposing such standardization: First, the paper describes the problems one faces in defining what information is private in data mining, and discuss how privacy can be violated in data mining. Then, it defines privacy preservation in data mining based on users' personal information and information concerning their collective activity.

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Publisher
University of Alberta
File Format
PDF
Date Published
Oct 1, 2008
Format
White Papers
Topics
Knowledge and Data Management, Data Mining - Analysis

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