Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: Supplementary 8, Pages: 1-4
Murari Devakannan Kamalesh* , B.Bharathi
Faculty of Computing, Sathyabama University, Chennai, India; [email protected], [email protected].
Background: Slicing method has been recommended as a process for defending seclusion in data publication and data publishing. Whilst liberating the operation data to a third party to conceal assured customer particular information. Statistical analysis : Many anonymization methods have been utilized for data publication and data publishing. Generalization method mislays substantial range of data, particularly for high dimensional information. Bucketization method doesn’t have a obvious partition among quasi recognizing aspects and perceptive aspects. Result: Slicing conserves superior data efficacy than bucketization and generalization. This method separates the data both vertically and horizontally. Slicing may knob soaring dimensional data.
Keywords: Data Publication and Data Publishing, Slicing
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