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Privacy Preserving Data Mining Using Correlation Based Transformation

Author(s):

Akhija lakshmi R , MOUNT ZION COLLEGE OF ENGINEERING,KADAMMANITTA, PATHANATHITTA,KERALA; Vineeth M V, MOUNT ZION COLLEGE OF ENGINEERING,KADAMMANITTA, PATHANATHITTA,KERALA

Keywords:

Correlation Analysis, Perturbation, Privacy Preserving, Transformation Strategy

Abstract

Mining valuable information from mass of data has developed an important application in many fields. Data mining procedures like clustering, combination work on this data and provide hard information for study. As these data are open through various networks into public field, privacy for the holders of the data is collective need. However privacy can be provided by hiding sensitive data, it will affect the data mining algorithms in knowledge abstraction, so an effective mechanism is required to provide privacy to the data and at the same time without disturbing the data mining algorithms. Augmented rotation-based transformation (ARBT) scheme utilizes linearity of transformation.

Other Details

Paper ID: IJSRDV4I80360
Published in: Volume : 4, Issue : 8
Publication Date: 01/11/2016
Page(s): 775-777

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