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» A Framework for High-Accuracy Privacy-Preserving Mining
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ETRICS
2006
13 years 8 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang
SDM
2007
SIAM
190views Data Mining» more  SDM 2007»
13 years 6 months ago
AC-Framework for Privacy-Preserving Collaboration
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. Increasing security concerns have led to a surge in w...
Wei Jiang, Chris Clifton
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 2 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
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
2002
ACM
128views Data Mining» more  KDD 2002»
14 years 5 months ago
Privacy preserving mining of association rules
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
Alexandre V. Evfimievski, Ramakrishnan Srikant, Ra...