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    » Mining Hesitation Information by Vague Association Rules
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    BIBM
    2007
    IEEE
    171views Bioinformatics» more  BIBM 2007»
    GenMiner: Mining Informative Association Rules from Genomic Data
    16 years 12 days ago
    GenMiner: Mining Informative Association Rules from Genomic Data
    Download  hal.archives-ouvertes.fr
    GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
    Ricardo Martínez, Claude Pasquier, Nicolas ...
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    ADVIS
    2004
    Springer
    191views Information Technology» more  ADVIS 2004»
    Incremental Association Rule Mining Using Materialized Data Mining Views
    15 years 11 months ago
    Incremental Association Rule Mining Using Materialized Data Mining Views
    Download  www.cs.put.poznan.pl
    Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
    Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
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    ICEIS
    2009
    IEEE
    120views Information Technology» more  ICEIS 2009»
    Ontology Mapping based on Association Rule Mining
    16 years 21 days ago
    Ontology Mapping based on Association Rule Mining
    Download  www.epis.gr
    Christos Tatsiopoulos, Basilis Boutsinas
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    COOPIS
    2003
    IEEE
    112views Information Technology» more  COOPIS 2003»
    Mining Association Rules from Relational Data - Average Distance Based Method
    15 years 11 months ago
    Mining Association Rules from Relational Data - Average Distance Based Method
    Download  www.fit.vutbr.cz
    Vladimír Bartík, Jaroslav Zendulka
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    WAIM
    2000
    Springer
    107views Information Technology» more  WAIM 2000»
    An Effective Approach to Mining Exeption Class Association Rules
    15 years 9 months ago
    An Effective Approach to Mining Exeption Class Association Rules
    Download  www.jos.org.cn
    Fang Yu, Wen Jin
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