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    SDM
    2007
    SIAM
    190views Data Mining» more  SDM 2007»
    AC-Framework for Privacy-Preserving Collaboration
    13 years 5 months ago
    AC-Framework for Privacy-Preserving Collaboration
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    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
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    SDM
    2007
    SIAM
    106views Data Mining» more  SDM 2007»
    Approximating Representations for Large Numerical Databases
    13 years 5 months ago
    Approximating Representations for Large Numerical Databases
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    The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
    Szymon Jaroszewicz, Marcin Korzen
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    SDM
    2007
    SIAM
    133views Data Mining» more  SDM 2007»
    Change-Point Detection using Krylov Subspace Learning
    13 years 5 months ago
    Change-Point Detection using Krylov Subspace Learning
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    We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
    Tsuyoshi Idé, Koji Tsuda
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    SDM
    2007
    SIAM
    98views Data Mining» more  SDM 2007»
    Lattice based Clustering of Temporal Gene-Expression Matrices
    13 years 5 months ago
    Lattice based Clustering of Temporal Gene-Expression Matrices
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    Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
    Yang Huang, Martin Farach-Colton
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    SDM
    2007
    SIAM
    90views Data Mining» more  SDM 2007»
    Co-Preserving Patterns in Bipartite Partitioning for Topic Identification
    13 years 5 months ago
    Co-Preserving Patterns in Bipartite Partitioning for Topic Identification
    Download  datamining.rutgers.edu
    Tianming Hu, Hui Xiong, Sam Yuan Sung
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    SDM
    2007
    SIAM
    103views Data Mining» more  SDM 2007»
    A System for Keyword Search on Textual Streams
    13 years 5 months ago
    A System for Keyword Search on Textual Streams
    Download  users.cs.fiu.edu
    An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
    Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
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    SDM
    2007
    SIAM
    204views Data Mining» more  SDM 2007»
    Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
    13 years 5 months ago
    Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
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    k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
    Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
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    SDM
    2007
    SIAM
    177views Data Mining» more  SDM 2007»
    Bursty Feature Representation for Clustering Text Streams
    13 years 5 months ago
    Bursty Feature Representation for Clustering Text Streams
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    Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
    Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
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    SDM
    2007
    SIAM
    152views Data Mining» more  SDM 2007»
    HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
    13 years 5 months ago
    HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
    Download  siam.org
    In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
    Khaled M. Hammouda, Mohamed S. Kamel
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    SDM
    2007
    SIAM
    104views Data Mining» more  SDM 2007»
    Boosting Optimal Logical Patterns Using Noisy Data
    13 years 5 months ago
    Boosting Optimal Logical Patterns Using Noisy Data
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    We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
    Noam Goldberg, Chung-chieh Shan
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