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Privacy-Preserving Data Mining Systems

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2 Author(s)
Nan Zhang ; Texas Univ., Arlington, TX ; Wei Zhao

Although successful in many applications, data mining poses special concerns for private data. An integrated architecture takes a systemic view of the problem, implementing established protocols for data collection, inference control, and information sharing. Our goal in investigating privacy preservation issues was to take a systemic view of architectural requirements and design principles and explore possible solutions that would lead to guidelines for building practical privacy-preserving data mining systems

Published in:

Computer  (Volume:40 ,  Issue: 4 )

Date of Publication:

April 2007

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