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Statements

Subject Item
n2:RIV%2F61384399%3A31140%2F14%3A00044653%21RIV15-MSM-31140___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
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dcterms:description
Main topics of the document: data mining; automation; domain knowledge; assocoation rules; Lisp-Miner Main topics of the document: data mining; automation; domain knowledge; assocoation rules; Lisp-Miner
dcterms:title
Learning Association Rules from Data through Domain Knowledge and Automation Learning Association Rules from Data through Domain Knowledge and Automation
skos:prefLabel
Learning Association Rules from Data through Domain Knowledge and Automation Learning Association Rules from Data through Domain Knowledge and Automation
skos:notation
RIV/61384399:31140/14:00044653!RIV15-MSM-31140___
n3:aktivita
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S
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n3:idSjednocenehoVysledku
25837
n3:idVysledku
RIV/61384399:31140/14:00044653
n3:jazykVysledku
n11:eng
n3:klicovaSlova
data mining; automation; domain knowledge; assocoation rules; Lisp-Miner
n3:klicoveSlovo
n4:data%20mining n4:domain%20knowledge n4:assocoation%20rules n4:automation n4:Lisp-Miner
n3:kontrolniKodProRIV
[E9D22979840F]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Švýcarsko
n3:nazevZdroje
Rules on the Web. From Theory to Applications
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n13:2014
n3:tvurceVysledku
Rauch, Jan Šimůnek, Milan
n3:typAkce
n9:WRD
n3:zahajeniAkce
2014-08-18+02:00
s:issn
0302-9743
s:numberOfPages
15
n7:doi
10.1007/978-3-319-09870-8_20
n18:hasPublisher
Springer International Publishing Switzerland
n5:isbn
978-3-319-09869-2
n22:organizacniJednotka
31140