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Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems
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$a 10.1007/978-3-642-01203-7_24 $2 DOI 100 $a 20090820d m y slo 03 ba 101 0-
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$a Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems 215 $a 11 s. 463 -1
$1 001 cav_un_epca*0328422 $1 010 $a 978-3-642-01202-0 $1 200 1 $a Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing $v S. 271-281 $1 210 $a Berlin $c Springer $d 2009 $1 225 $a Studies in Computational Intelligence $v 209 $1 702 1 $a Lee $b R. $4 340 $1 702 1 $a Ishii $b N. $4 340 541 1-
$a Hybridní kompozice multiagentních systémů pro data mining řízená daty $z cze 610 0-
$a data mining 610 0-
$a multi-agent systems 610 0-
$a artificial intelligence 700 -1
$3 cav_un_auth*0100794 $a Neruda $b Roman $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i.
Number of the records: 1