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» A Condensation Approach to Privacy Preserving Data Mining
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KDD
2004
ACM
159views Data Mining» more  KDD 2004»
13 years 10 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
14 years 5 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 6 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
KDD
2008
ACM
175views Data Mining» more  KDD 2008»
14 years 5 months ago
Geocode Matching and Privacy Preservation
Geocoding is the process of matching addresses to geographic locations, such as latitudes and longitudes, or local census areas. In many applications, addresses are the key to geo-...
Peter Christen