Downloads: 111 | Views: 147

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

Review of Slicing Approach: Data Publishing with Data Privacy and Data Utility

Vina M. Lomte ^[11] | Hemlata B. Deorukhakar ^[2]

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

Edition: Volume 3 Issue 6, June 2014,

Pages: 679 - 682