Review of Slicing Approach: Data Publishing with Data Privacy and Data Utility
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 6)Publication Date: 2014-06-15
Authors : Vina M. Lomte; Hemlata B. Deorukhakar;
Page : 679-682
Keywords : Data Publishing; Data privacy; Generalization; Bucketization; Slicing; Data Utility; Data Anonymization.;
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.
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Last modified: 2014-06-24 17:25:46