A review on privacy preserving data mining

The information is rich: but the knowledge is poor. To gain a better knowledge from available information, number of techniques and methods has been developed in the area of data mining so far. On the other hand privacy is one of the most important properties of information that any system should sa...

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Bibliographic Details
Published in2012 IEEE International Conference on Computational Intelligence and Computing Research pp. 1 - 4
Main Authors Shanthi, A. S., Karthikeyan, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
Anonymization
Data mining
Perturbed data
Privacy preserving
Randomization
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Summary:The information is rich: but the knowledge is poor. To gain a better knowledge from available information, number of techniques and methods has been developed in the area of data mining so far. On the other hand privacy is one of the most important properties of information that any system should satisfy. The secrecy of the information must be maintained while sharing the information among different un-trusted parties. Thus privacy plays a major role and also an important issue in most of the data mining applications. Best suited Privacy Preserving Data Mining (PPDM) algorithm for different levels of mining which minimizes the information loss and improves accuracy of the mined data are identified based on this survey.
ISBN:1467313424
9781467313421
DOI:10.1109/ICCIC.2012.6510302