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    1.
    0387225 - ÚI 2013 CZ eng V - Research Report
    Kessl, Robert
    Methods for parallel mining of frequent itemsets.
    Prague: ICS AS CR, 2012. 35 s. Technical Report, V-1170.
    R&D Projects: GA ČR GAP202/10/1333
    Institutional support: RVO:67985807
    Keywords : data mining * parallel algorithms * frequent itemset mining * approximate counting
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0216967
    FileDownloadSizeCommentaryVersionAccess
    v1170-12.pdf13670.7 KBOtheropen-access
     
     

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