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CIKM
2006
Springer
14 years 1 months ago
Privacy preserving sequential pattern mining in distributed databases
Research in the areas of privacy preserving techniques in databases and subsequently in privacy enhancement technologies have witnessed an explosive growth-spurt in recent years. ...
Vishal Kapoor, Pascal Poncelet, François Tr...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 10 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
SIGMOD
2004
ACM
101views Database» more  SIGMOD 2004»
14 years 10 months ago
State-of-the-art in privacy preserving data mining
We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for ana...
Vassilios S. Verykios, Elisa Bertino, Igor Nai Fov...
USS
2010
13 years 7 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 3 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