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    ICDCS
    2006
    IEEE
    258views Distributed And Parallel Com...» more  ICDCS 2006»
    ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
    13 years 10 months ago
    ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
    Download  multimedia.ece.uic.edu
    Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
    Jianhong Zhou, Ashfaq A. Khokhar
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    SDM
    2009
    SIAM
    251views Data Mining» more  SDM 2009»
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    14 years 2 months ago
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    Download  www.siam.org
    Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
    Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
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    ICPPW
    2009
    IEEE
    191views Distributed And Parallel Com...» more  ICPPW 2009»
    A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
    13 years 2 months ago
    A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
    Download  www.eecs.wsu.edu
    Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
    Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
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    SDM
    2012
    SIAM
    237views Data Mining» more  SDM 2012»
    A Distributed Kernel Summation Framework for General-Dimension Machine Learning
    11 years 7 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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    IPPS
    2006
    IEEE
    121views Distributed And Parallel Com...» more  IPPS 2006»
    Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
    13 years 10 months ago
    Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
    Download  www.cecs.uci.edu
    Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
    Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
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