A Review on Privacy Preservation in Data Mining

Authors

  • Mahesh Dumbere  Department of Computer Science and Engineering, TGPCET, Nagpur, Maharashtra, India
  • Roshani Talmale  Department of Computer Science and Engineering, TGPCET, Nagpur, Maharashtra, India

Keywords:

Data Mining, Privacy Preserving, Anonymization

Abstract

The main focus of privacy preserving data publishing was to enhance traditional data mining techniques for masking sensitive information through data modification. The major issues were how to modify the data and how to recover the data mining result from the altered data. The reports were often tightly coupled with the data mining algorithms under consideration. Privacy preserving data publishing focuses on techniques for publishing data, not techniques for data mining. In case, it is expected that standard data mining techniques are applied on the published data. Anonymization of the data is done by hiding the identity of record owners, whereas privacy preserving data mining seeks to directly belie the sensitive data. This survey carries out the various privacy preservation techniques and algorithms.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 6, January-February-2018

Section

Research Articles

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How to Cite

[1]
Mahesh Dumbere, Roshani Talmale, " A Review on Privacy Preservation in Data Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 6, pp.215 -221, January-February-2018.