Heuristic Based Approach for Privacy Preserving in Data Mining

Authors(2) :-Patel Shreya, Aniket Patel

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.

Authors and Affiliations

Patel Shreya
CE Department Silver oak College of Engineering & Technology, Gota, Ahmedabad, Gujarat, India
Aniket Patel
IT Department, Silver oak College of Engineering & Technology, Gota, Ahmedabad, Gujarat, India

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 : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 170-177
Manuscript Number : IJSRSET184847
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET184847

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