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    DMIN
    2008
    190views Data Mining» more  DMIN 2008»
    Optimization of Self-Organizing Maps Ensemble in Prediction
    13 years 7 months ago
    Optimization of Self-Organizing Maps Ensemble in Prediction
    Download  eric.univ-lyon2.fr
    The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
    Elie Prudhomme, Stéphane Lallich
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    BMCBI
    2006
    149views more  BMCBI 2006»
    Curation of viral genomes: challenges, applications and the way forward
    13 years 5 months ago
    Curation of viral genomes: challenges, applications and the way forward
    Download  www.biomedcentral.com
    Background: Whole genome sequence data is a step towards generating the 'parts list' of life to understand the underlying principles of Biocomplexity. Genome sequencing ...
    Urmila Kulkarni-Kale, Shriram Bhosle, G. Sunitha M...
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    AAI
    2007
    132views more  AAI 2007»
    Incremental Extraction of Association Rules in Applicative Domains
    13 years 5 months ago
    Incremental Extraction of Association Rules in Applicative Domains
    Download  www.di.unito.it
    In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
    Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 5 months ago
    Hidden Markov Model Variants and their Application
    Download  www.cs.uno.edu
    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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    SDM
    2009
    SIAM
    192views Data Mining» more  SDM 2009»
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    14 years 2 months ago
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    Download  www.siam.org
    The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
    Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
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