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    SDM
    2009
    SIAM
    180views Data Mining» more  SDM 2009»
    Structure and Dynamics of Research Collaboration in Computer Science.
    14 years 8 months ago
    Structure and Dynamics of Research Collaboration in Computer Science.
    Download  macbeth.cs.ucdavis.edu
    Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
    Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
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    SDM
    2009
    SIAM
    129views Data Mining» more  SDM 2009»
    Multi-topic Based Query-Oriented Summarization.
    14 years 8 months ago
    Multi-topic Based Query-Oriented Summarization.
    Download  www.siam.org
    Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
    Dewei Chen, Jie Tang, Limin Yao
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    SDM
    2009
    SIAM
    130views Data Mining» more  SDM 2009»
    FuncICA for Time Series Pattern Discovery.
    14 years 8 months ago
    FuncICA for Time Series Pattern Discovery.
    Download  www.fast-lab.org
    We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
    Alexander Gray, Nishant Mehta
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    SDM
    2009
    SIAM
    149views Data Mining» more  SDM 2009»
    Speeding Up Secure Computations via Embedded Caching.
    14 years 8 months ago
    Speeding Up Secure Computations via Embedded Caching.
    Download  www.siam.org
    Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
    K. Zhai, W. K. Ng, A. R. Herianto, S. Han
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    SDM
    2009
    SIAM
    113views Data Mining» more  SDM 2009»
    Local Relevance Weighted Maximum Margin Criterion for Text Classification.
    14 years 8 months ago
    Local Relevance Weighted Maximum Margin Criterion for Text Classification.
    Download  www.siam.org
    Jie Zhou, Quanquan Gu
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    SDM
    2009
    SIAM
    144views Data Mining» more  SDM 2009»
    On Segment-Based Stream Modeling and Its Applications.
    14 years 8 months ago
    On Segment-Based Stream Modeling and Its Applications.
    Download  www.siam.org
    The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
    Charu C. Aggarwal
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    SDM
    2009
    SIAM
    114views Data Mining» more  SDM 2009»
    GAD: General Activity Detection for Fast Clustering on Large Data.
    14 years 8 months ago
    GAD: General Activity Detection for Fast Clustering on Large Data.
    Download  www.siam.org
    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
    161views Data Mining» more  SDM 2009»
    Feature Weighted SVMs Using Receiver Operating Characteristics.
    14 years 8 months ago
    Feature Weighted SVMs Using Receiver Operating Characteristics.
    Download  www.siam.org
    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
    124views Data Mining» more  SDM 2009»
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
    14 years 8 months ago
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
    Download  siam.org
    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
    104views Data Mining» more  SDM 2009»
    On Randomness Measures for Social Networks.
    14 years 8 months ago
    On Randomness Measures for Social Networks.
    Download  www.siam.org
    Social networks tend to contain some amount of randomness and some amount of non-randomness. The amount of randomness versus non-randomness affects the properties of a social netw...
    Xiaowei Ying, Xintao Wu
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