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A Review on Privacy Preservation in Data Mining

Authors(2):

Mahesh Dumbere, Roshani Talmale
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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.

Mahesh Dumbere, Roshani Talmale

Data Mining, Privacy Preserving, Anonymization

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Publication Details

Published in : Volume 4 | Issue 6 | January-February - 2018
Date of Publication Print ISSN Online ISSN
2018-02-28 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
199-205 IJSRSET1848151   Technoscience Academy

Cite This Article

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.199-205, January-February-2018.
URL : http://ijsrset.com/IJSRSET1848151.php