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    SDM
    2012
    SIAM
    258views Data Mining» more  SDM 2012»
    Feature Selection with Linked Data in Social Media
    13 years 8 months ago
    Feature Selection with Linked Data in Social Media
    Download  www.public.asu.edu
    Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
    Jiliang Tang, Huan Liu
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    SDM
    2012
    SIAM
    208views Data Mining» more  SDM 2012»
    Mining Massive Archives of Mice Sounds with Symbolized Representations
    13 years 8 months ago
    Mining Massive Archives of Mice Sounds with Symbolized Representations
    Download  www.cs.ucr.edu
    Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
    Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
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    SDM
    2012
    SIAM
    312views Data Mining» more  SDM 2012»
    Drought Detection of the Last Century: An MRF-based Approach
    13 years 8 months ago
    Drought Detection of the Last Century: An MRF-based Approach
    Download  www-users.cs.umn.edu
    Droughts are one of the most damaging climate-related hazards. The late 1960s Sahel drought in Africa and the North American Dust Bowl of the 1930s are two examples of severe drou...
    Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K....
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    SDM
    2012
    SIAM
    237views Data Mining» more  SDM 2012»
    A Distributed Kernel Summation Framework for General-Dimension Machine Learning
    13 years 8 months ago
    A Distributed Kernel Summation Framework for General-Dimension Machine Learning
    Download  www.cc.gatech.edu
    Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
    Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    13 years 8 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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