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    SDM
    2010
    SIAM
    283views Data Mining» more  SDM 2010»
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    13 years 9 months ago
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    Download  www.spatial.cs.umn.edu
    Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
    Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
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    SDM
    2004
    SIAM
    187views Data Mining» more  SDM 2004»
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    13 years 9 months ago
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    Download  www.cs.utexas.edu
    Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
    Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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    BMCBI
    2007
    102views more  BMCBI 2007»
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    13 years 7 months ago
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    Download  www.biomedcentral.com
    Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
    Luis A. Diago, Persy Morell, Longendri Aguilera, E...
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    KDD
    2008
    ACM
    172views Data Mining» more  KDD 2008»
    Structured metric learning for high dimensional problems
    14 years 8 months ago
    Structured metric learning for high dimensional problems
    Download  www.cs.utexas.edu
    The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
    Jason V. Davis, Inderjit S. Dhillon
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    KDD
    2007
    ACM
    178views Data Mining» more  KDD 2007»
    Practical learning from one-sided feedback
    14 years 8 months ago
    Practical learning from one-sided feedback
    Download  www.eecs.tufts.edu
    In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
    D. Sculley
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