Review of Slicing Approach: Data Publishing with Data Privacy and Data Utility
Abstract: Data publishing with data privacy and data utility has been emerged to manage high dimensional data efficiently. In this paper; to deal with this advancement in data mining technology using accentuate approach of slicing. Slicing provide better data utility and data privacy than bucketization and generalization. Slicing can handle high dimensional data than generalization which loses great amount of information for high dimensional data. Slicing also prevents from membership disclosure and attributes disclosure.
Keywords: Data Publishing, Data privacy, Generalization, Bucketization, Slicing, Data Utility, Data Anonymization
How to Cite?: Vina M. Lomte, Hemlata B. Deorukhakar, "Review of Slicing Approach: Data Publishing with Data Privacy and Data Utility", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 679-682, https://www.ijsr.net/getabstract.php?paperid=2014302, DOI: https://dx.doi.org/10.21275/2014302