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    KDD
    2002
    ACM
    147views Data Mining» more  KDD 2002»
    Visualized Classification of Multiple Sample Types
    14 years 8 months ago
    Visualized Classification of Multiple Sample Types
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    The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
    Li Zhang, Aidong Zhang, Murali Ramanathan
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    KDD
    2002
    ACM
    107views Data Mining» more  KDD 2002»
    Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results
    14 years 8 months ago
    Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results
    Download  www.cs.rpi.edu
    Sen Zhang, Li Liao, Jean-Francois Tomb, Jason Tson...
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    KDD
    2002
    ACM
    146views Data Mining» more  KDD 2002»
    Closed Set Mining of Biological Data
    14 years 8 months ago
    Closed Set Mining of Biological Data
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    We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
    John L. Pfaltz, Christopher M. Taylor
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    KDD
    2002
    ACM
    113views Data Mining» more  KDD 2002»
    Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design
    14 years 8 months ago
    Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design
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    Huma Lodhi, Yike Guo
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    KDD
    2002
    ACM
    154views Data Mining» more  KDD 2002»
    Mining Protein Contact Maps
    14 years 8 months ago
    Mining Protein Contact Maps
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    The 3D conformation of a protein may be compactly represented in a symmetrical, square, boolean matrix of pairwise, inter-residue contacts, or "contact map". The contact...
    Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff...
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    KDD
    2002
    ACM
    108views Data Mining» more  KDD 2002»
    Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
    14 years 8 months ago
    Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
    Download  www.cs.rpi.edu
    This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
    George Forman
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    KDD
    2002
    ACM
    104views Data Mining» more  KDD 2002»
    Generalization Methods in Bioinformatics
    14 years 8 months ago
    Generalization Methods in Bioinformatics
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    Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
    Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
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    KDD
    2002
    ACM
    120views Data Mining» more  KDD 2002»
    Automated Approaches for Classifying Structures
    14 years 8 months ago
    Automated Approaches for Classifying Structures
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    Mukund Deshpande, Michihiro Kuramochi, George Kary...
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    KDD
    2002
    ACM
    130views Data Mining» more  KDD 2002»
    How Can Data Mining Help Bio-Data Analysis?
    14 years 8 months ago
    How Can Data Mining Help Bio-Data Analysis?
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    Jiawei Han
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    KDD
    2002
    ACM
    183views Data Mining» more  KDD 2002»
    E-CAST: A Data Mining Algorithm for Gene Expression Data
    14 years 8 months ago
    E-CAST: A Data Mining Algorithm for Gene Expression Data
    Download  www.cs.rpi.edu
    Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
    Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
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