Analysis of Pattern Transformation Algorithms for SensitiveKnowledge Protection in Data Mining
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Privacy Preserving Data Mining(PPDM) is an emerging research area. Its objective is to extend thetraditional data mining techniques to work with transformed data while protecting confidential information withminimized loss of privacy and information. In other words PPDM techniques aimed at modifying the originaldata while still being able to recover the data mining results from the modified data. This article analyses theexisting PPDM techniques and presents the analysis of the proposed algorithms in the research work.
Authors and Affiliations
Cynthia Selvi. P , Mohamed Shanavas. A. R
Keywords
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