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Original title:
Methods for parallel mining of frequent itemsets
Authors:
Kessl, Robert
Document type:
Research reports
Year:
2012
Language:
eng
Series:
Technical Report
, volume: V-1170
Keywords:
approximate counting
;
data mining
;
frequent itemset mining
;
parallel algorithms
Project no.:
GAP202/10/1333
(
CEP
)
Funding provider:
GA ČR
Rights:
This work is protected under the Copyright Act No.
121/2000
Coll.
Institution:
Institute of Computer Science AS ČR (
web
)
Original record:
http://hdl.handle.net/11104/0216967
Permalink:
http://www.nusl.cz/ntk/nusl-136061
The record appears in these collections:
Research
>
Institutes ASCR
>
Institute of Computer Science
Reports
>
Research reports
Record created 2013-01-16, last modified 2023-12-11
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