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    ICMLA
    2008
    102views Machine Learning» more  ICMLA 2008»
    Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
    13 years 6 months ago
    Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
    Download  www.trustedsource.org
    Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
    Yuchun Tang, Yuanchen He, Sven Krasser
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    KDD
    2009
    ACM
    163views Data Mining» more  KDD 2009»
    Large-scale graph mining using backbone refinement classes
    14 years 5 months ago
    Large-scale graph mining using backbone refinement classes
    Download  www.maunz.de
    We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
    Andreas Maunz, Christoph Helma, Stefan Kramer
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    ICDE
    2010
    IEEE
    290views Database» more  ICDE 2010»
    The Model-Summary Problem and a Solution for Trees
    13 years 9 months ago
    The Model-Summary Problem and a Solution for Trees
    Download  www.ccs.neu.edu
    Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
    Biswanath Panda, Mirek Riedewald, Daniel Fink
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    KDD
    2008
    ACM
    178views Data Mining» more  KDD 2008»
    Training structural svms with kernels using sampled cuts
    14 years 5 months ago
    Training structural svms with kernels using sampled cuts
    Download  www.cs.cornell.edu
    Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
    Chun-Nam John Yu, Thorsten Joachims
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    BMCBI
    2006
    137views more  BMCBI 2006»
    A classification-based framework for predicting and analyzing gene regulatory response
    13 years 5 months ago
    A classification-based framework for predicting and analyzing gene regulatory response
    Download  www.biomedcentral.com
    Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
    Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
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