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    HICSS
    1998
    IEEE
    93views Biometrics» more  HICSS 1998»
    Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability
    15 years 2 months ago
    Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability
    Download  www.eecs.wsu.edu
    Gehad Galal, Diane J. Cook, Lawrence B. Holder
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    KDD
    1997
    ACM
    122views Data Mining» more  KDD 1997»
    Improving Scalability in a Scientific Discovery System by Exploiting Parallelism
    15 years 2 months ago
    Improving Scalability in a Scientific Discovery System by Exploiting Parallelism
    Download  www.aaai.org
    Gehad Galal, Diane J. Cook, Lawrence B. Holder
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    CMMR
    2004
    Springer
    110views Music» more  CMMR 2004»
    A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems
    15 years 3 months ago
    A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems
    Download  www.dfki.uni-kl.de
    Abstract. In this paper, we present an approach for musical artist recommendation based on Self-Organizing Maps (SOMs) of artist reviews from Amazon web site. The Amazon reviews fo...
    Shankar Vembu, Stephan Baumann
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    JAL
    2008
    89views more  JAL 2008»
    Experimenting with parallelism for the instantiation of ASP programs
    14 years 9 months ago
    Experimenting with parallelism for the instantiation of ASP programs
    Download  pst.istc.cnr.it
    Abstract. In the last few years, the microprocessors technologies have been definitely moving to multi-core architectures, in order to improve performances as well as reduce power ...
    Francesco Calimeri, Simona Perri, Francesco Ricca
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    MIDDLEWARE
    2007
    Springer
    175views Distributed And Parallel Com...» more  MIDDLEWARE 2007»
    Combining ontology queries with key word search in the GloServ service discovery system
    15 years 4 months ago
    Combining ontology queries with key word search in the GloServ service discovery system
    Download  www1.cs.columbia.edu
    GloServ is a global service discovery system which aggregates different types of services in a globally distributed network. It improves on current service discovery systems by sc...
    Knarig Arabshian, Henning Schulzrinne
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