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    SDM
    2007
    SIAM
    137views Data Mining» more  SDM 2007»
    Semi-supervised Feature Selection via Spectral Analysis
    14 years 11 months ago
    Semi-supervised Feature Selection via Spectral Analysis
    Download  www.public.asu.edu
    Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
    Zheng Zhao, Huan Liu
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    SDM
    2007
    SIAM
    120views Data Mining» more  SDM 2007»
    An Analysis of Logistic Models: Exponential Family Connections and Online Performance
    14 years 11 months ago
    An Analysis of Logistic Models: Exponential Family Connections and Online Performance
    Download  www-users.cs.umn.edu
    Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
    Arindam Banerjee
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    SDM
    2007
    SIAM
    130views Data Mining» more  SDM 2007»
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
    14 years 11 months ago
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
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    Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
    Henrik Boström
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    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    14 years 11 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
    118views Data Mining» more  SDM 2007»
    On Privacy-Preservation of Text and Sparse Binary Data with Sketches
    14 years 11 months ago
    On Privacy-Preservation of Text and Sparse Binary Data with Sketches
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    In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
    Charu C. Aggarwal, Philip S. Yu
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