Privacy-preserving data mining systems

Nan Zhang; Wei Zhao

doi:10.1109/MC.2007.142

Privacy-preserving data mining systems

Nan Zhang
, Wei Zhao

College of Information Sciences and Technology

Research output: Contribution to specialist publication › Article

70 Scopus citations

Abstract

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.

Original language	English (US)
Pages	52-58
Number of pages	7
Volume	40
No	4
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2007.142
State	Published - Apr 2007

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/MC.2007.142

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abstract = "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.",

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Privacy-preserving data mining systems

Abstract

All Science Journal Classification (ASJC) codes

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