📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 8, AUGUST 2016

Study of Data Mining Approach for Privacy Preservation

Priyank Pathak, Rajat Paliwal

DOI: 10.17148/IJARCCE.2016.58123

Abstract: In this paper reviewed the utility and application of data mining technique in the field of privacy preservation. Privacy preservation is technique for hiding of information and secured the information during transmission. Now a day�s various technique of privacy preservation are used such as cryptography, k-animosity and other methods used for the hiding an information. Data mining provide verity of technique such as rule mining, clustering and classification, all these technique used for the process of privacy preservation. The noise adaptive and data transformation is well known technique for privacy preservation. The collection of different method of data mining and perform privacy preservation task is called collaborative mining technique for this task. The collaborative technique enhances the security strength of privacy preservation and decrease the loss of data during the transformation of data.



Keywords: Privacy Preservation, Data Mining, Collaborative Technique.

How to Cite:

[1] Priyank Pathak, Rajat Paliwal, “Study of Data Mining Approach for Privacy Preservation,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.58123