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Heuristic Based Approach for Privacy Preserving in Data Mining

Authors(2):

Patel Shreya, Aniket Patel
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Data Mining has been the foremost researched space for researchers because of the possibilities of extension at every application of it. Once the information becomes massive in volume, several issues strike for security and privacy breach. If the data changes, itíd be mandatory to rescan the database that results to long computation time and inability to promptly reply to the user. Some applications like sharing of such knowledge to a selected user that have threats of preserving the original data so that the injection of such data can be prohibited. Thus itís a timely need to secure the information whereas handling them to the known or unknown users. Such troubles prompted the advancement of Privacy Preserving Data Mining (PPDM) Techniques. Primary objective is to accomplish harmony between privacy preservation and knowledge discovery and hiding the data from attacker. Privacy Preserving has become a crucial issue within the development progress of Data Mining techniques. Methods like k-anonymity along with the hybrid approach of l-diversity and t-closeness. Experimental outcomes shows that the approach not solely preserveís data privacy however one will get better accuracy with minimum loss of data.

Patel Shreya, Aniket Patel

Data Mining, Privacy Preserving Data Mining, Heuristic Based Approach.

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Publication Details

Published in : Volume 4 | Issue 8 | May-June - 2018
Date of Publication Print ISSN Online ISSN
2018-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
170-177 IJSRSET184847   Technoscience Academy

Cite This Article

Patel Shreya, Aniket Patel, "Heuristic Based Approach for Privacy Preserving 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 8, pp.170-177, May-June-2018.
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