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    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    13 years 10 months ago
    A Better Alternative to Piecewise Linear Time Series Segmentation
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    Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
    Daniel Lemire
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    SDM
    2007
    SIAM
    138views Data Mining» more  SDM 2007»
    Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
    13 years 10 months ago
    Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
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    Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
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    SDM
    2007
    SIAM
    182views Data Mining» more  SDM 2007»
    Distance Preserving Dimension Reduction for Manifold Learning
    13 years 10 months ago
    Distance Preserving Dimension Reduction for Manifold Learning
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    Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
    Hyunsoo Kim, Haesun Park, Hongyuan Zha
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    SDM
    2007
    SIAM
    190views Data Mining» more  SDM 2007»
    AC-Framework for Privacy-Preserving Collaboration
    13 years 10 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 10 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 10 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 10 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 10 months ago
    Co-Preserving Patterns in Bipartite Partitioning for Topic Identification
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    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 10 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 10 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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