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    » Novel Algorithms for Privacy Preserving Utility Mining
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    DMIN
    2009
    180views Data Mining» more  DMIN 2009»
    APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
    13 years 5 months ago
    APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
    Download  thepublicgrid.org
    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...
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    SIGKDD
    2002
    93views more  SIGKDD 2002»
    Randomization in Privacy-Preserving Data Mining
    13 years 7 months ago
    Randomization in Privacy-Preserving Data Mining
    Download  www.cs.cornell.edu
    Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
    Alexandre V. Evfimievski
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    IAJIT
    2010
    157views more  IAJIT 2010»
    Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
    13 years 5 months ago
    Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
    Download  www.ccis2k.org
    : Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
    Ashraf El-Sisi
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    WPES
    2003
    ACM
    161views Security Privacy» more  WPES 2003»
    Analysis of privacy preserving random perturbation techniques: further explorations
    14 years 17 days ago
    Analysis of privacy preserving random perturbation techniques: further explorations
    Download  www.eecs.wsu.edu
    Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
    Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 8 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    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
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