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ASME Press Select Proceedings
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
By
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859971
No. of Pages:
1008
Publisher:
ASME Press
Publication date:
2012

Privacy-preserving data mining has been the subject of substantial research, where data mining algorithms are analyzed for the side-effects they incur in data privacy. This paper highlights how data mining results cause privacy breach and proposes a new method to maintain knowledge privacy. We experiment our method using heart and spect datasets from the UCI KDD archive. We report the experimental results which show its effectiveness on categorical data.

Abstract
Keywords
Introduction
Privacy and Data Mining
How Data Mining Results Violates Privacy
Proposed Approach
Experimental Results
Related Works
Conclusion and Future Works
References
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