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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 25 days 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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    SIAM
    161views Data Mining» more  SDM 2009»
    Feature Weighted SVMs Using Receiver Operating Characteristics.
    16 years 25 days 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
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    114views Data Mining» more  SDM 2009»
    GAD: General Activity Detection for Fast Clustering on Large Data.
    16 years 25 days 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
    154views Data Mining» more  SDM 2009»
    AMORI: A Metric-Based One Rule Inducer.
    16 years 25 days ago
    AMORI: A Metric-Based One Rule Inducer.
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    The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
    Niklas Lavesson, Paul Davidsson
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    SDM
    2009
    SIAM
    223views Data Mining» more  SDM 2009»
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
    16 years 25 days ago
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
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    Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
    R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
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