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    SDM
    2009
    SIAM
    124views Data Mining» more  SDM 2009»
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
    16 years 1 months ago
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
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    We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
    Ali Dasdan, Paolo D'Alberto
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    SDM
    2009
    SIAM
    161views Data Mining» more  SDM 2009»
    Feature Weighted SVMs Using Receiver Operating Characteristics.
    16 years 1 months ago
    Feature Weighted SVMs Using Receiver Operating Characteristics.
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    Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
    Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
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    SDM
    2009
    SIAM
    114views Data Mining» more  SDM 2009»
    GAD: General Activity Detection for Fast Clustering on Large Data.
    16 years 1 months ago
    GAD: General Activity Detection for Fast Clustering on Large Data.
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    In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
    Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Event Discovery in Time Series.
    16 years 1 months ago
    Event Discovery in Time Series.
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    The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
    Carla E. Brodley, Dan Preston, Pavlos Protopapas
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    SDM
    2009
    SIAM
    152views Data Mining» more  SDM 2009»
    Non-negative Matrix Factorization, Convexity and Isometry.
    16 years 1 months ago
    Non-negative Matrix Factorization, Convexity and Isometry.
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    In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
    Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
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