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    » Improvements to the scalability of multiobjective clustering
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    GECCO
    2007
    Springer
    308views Optimization» more  GECCO 2007»
    Multiobjective clustering with automatic k-determination for large-scale data
    16 years 6 days ago
    Multiobjective clustering with automatic k-determination for large-scale data
    Download  www.cs.bham.ac.uk
    Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
    Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
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    BCB
    2010
    213views Bioinformatics» more  BCB 2010»
    Markov clustering of protein interaction networks with improved balance and scalability
    15 years 29 days ago
    Markov clustering of protein interaction networks with improved balance and scalability
    Download  www.cse.ohio-state.edu
    Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
    Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
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    OTM
    2007
    Springer
    81views Internet Technology» more  OTM 2007»
    Improving Scalability in Pub-Sub Knowledge-Based Networking by Semantic Clustering
    16 years 5 days ago
    Improving Scalability in Pub-Sub Knowledge-Based Networking by Semantic Clustering
    Download  www.scss.tcd.ie
    John Keeney, Dominic Jones, Dominik Roblek, David ...
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    ICDCS
    2002
    IEEE
    102views Distributed And Parallel Com...» more  ICDCS 2002»
    Improving the Scalability of Fault-Tolerant Database Clusters
    15 years 11 months ago
    Improving the Scalability of Fault-Tolerant Database Clusters
    Download  www.cs.mcgill.ca
    Ricardo Jiménez-Peris, Marta Patiño-...
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    EMO
    2005
    Springer
    110views Optimization» more  EMO 2005»
    Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
    15 years 11 months ago
    Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
    Download  www.ra.cs.uni-tuebingen.de
    Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
    Felix Streichert, Holger Ulmer, Andreas Zell
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