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Methods for parallel mining of frequent itemsets
- 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
File Download Size Commentary Version Access v1170-12.pdf 13 670.7 KB Other open-access
Number of the records: 1