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    » PGAC: A Parallel Genetic Algorithm for Data Clustering
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    CATA
    2003
    195views Computer Science» more  CATA 2003»
    A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
    13 years 10 months ago
    A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
    Download  coen.boisestate.edu
    This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
    Sin Ming Loo, B. Earl Wells, J. D. Winningham
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    BMCBI
    2007
    152views more  BMCBI 2007»
    Difference-based clustering of short time-course microarray data with replicates
    13 years 9 months ago
    Difference-based clustering of short time-course microarray data with replicates
    Download  www.biomedcentral.com
    Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
    Jihoon Kim, Ju Han Kim
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    WOB
    2004
    233views Bioinformatics» more  WOB 2004»
    Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
    13 years 10 months ago
    Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
    Download  www.funpecrp.com.br
    Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
    George Barreto Bezerra, Geraldo M. A. Cança...
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    ICDCS
    2011
    IEEE
    201views Distributed And Parallel Com...» more  ICDCS 2011»
    Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
    12 years 8 months ago
    Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
    Download  people.cs.vt.edu
    —Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
    Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
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    KDD
    2009
    ACM
    198views Data Mining» more  KDD 2009»
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    14 years 9 months ago
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    Download  www.pervasivedatarush.com
    All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
    Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
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