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    CLUSTER
    2006
    IEEE
    159views Distributed And Parallel Com...» more  CLUSTER 2006»
    FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI?
    15 years 3 months ago
    FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI?
    Download  www.cs.utk.edu
    One of the topics of paramount importance in the development of Cluster and Grid middleware is the impact of faults since their occurrence in Grid infrastructures and in large-sca...
    William Hoarau, Pierre Lemarinier, Thomas Hé...
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    IJAR
    2007
    113views more  IJAR 2007»
    Fuzzy clustering in parallel universes
    14 years 9 months ago
    Fuzzy clustering in parallel universes
    Download  www.inf.uni-konstanz.de
    We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
    Bernd Wiswedel, Michael R. Berthold
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    SYNASC
    2006
    IEEE
    106views Algorithms» more  SYNASC 2006»
    A Quality Measure for Multi-Level Community Structure
    15 years 3 months ago
    A Quality Measure for Multi-Level Community Structure
    Download  www.labri.fr
    Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
    Maylis Delest, Jean-Marc Fedou, Guy Melanço...
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    ESWA
    2007
    127views more  ESWA 2007»
    An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
    14 years 9 months ago
    An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
    Download  4430.wwwts.au.edu.tw
    This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
    Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
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    NN
    2006
    Springer
    163views Neural Networks» more  NN 2006»
    Machine learning approaches for estimation of prediction interval for the model output
    14 years 9 months ago
    Machine learning approaches for estimation of prediction interval for the model output
    Download  www.unesco-ihe.org
    A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
    Durga L. Shrestha, Dimitri P. Solomatine
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