This HTML5 document contains 50 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n11http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n13http://localhost/temp/predkladatel/
n12http://purl.org/net/nknouf/ns/bibtex#
n6http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n9http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F14%3A10284612%21RIV15-MSM-11320___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n20http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n17http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10284612%21RIV15-MSM-11320___
rdf:type
n14:Vysledek skos:Concept
rdfs:seeAlso
http://ceur-ws.org/Vol-1201/paper-13.pdf
dcterms:description
In this paper, a multi-agent system for metalearning in the data mining domain is presented. The system provides a user with intelligent features, such as recommendation of suitable data mining techniques for a new dataset, parameter tuning of such techniques, and building up a metaknowledge base. The architecture of the system, together with different user scenarios, and the way they are handled by the system, are described. In this paper, a multi-agent system for metalearning in the data mining domain is presented. The system provides a user with intelligent features, such as recommendation of suitable data mining techniques for a new dataset, parameter tuning of such techniques, and building up a metaknowledge base. The architecture of the system, together with different user scenarios, and the way they are handled by the system, are described.
dcterms:title
Hybrid Multi-Agent System for Metalearning in Data Mining Hybrid Multi-Agent System for Metalearning in Data Mining
skos:prefLabel
Hybrid Multi-Agent System for Metalearning in Data Mining Hybrid Multi-Agent System for Metalearning in Data Mining
skos:notation
RIV/00216208:11320/14:10284612!RIV15-MSM-11320___
n3:aktivita
n20:S n20:I
n3:aktivity
I, S
n3:dodaniDat
n17:2015
n3:domaciTvurceVysledku
n6:1063774 n6:2542250 n6:2622823 n6:9832300
n3:druhVysledku
n16:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
20041
n3:idVysledku
RIV/00216208:11320/14:10284612
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Parameter-tuning; Metalearning; Meta-knowledge; Multi agent systems; Data mining; Artificial intelligence
n3:klicoveSlovo
n5:Artificial%20intelligence n5:Parameter-tuning n5:Multi%20agent%20systems n5:Meta-knowledge n5:Metalearning n5:Data%20mining
n3:kontrolniKodProRIV
[AB20A0FD3ED4]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Neuveden
n3:nazevZdroje
(2014) CEUR Workshop Proceedings
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n17:2014
n3:tvurceVysledku
Pilát, Martin Neruda, Roman Pešková, Klára Šmíd, Jakub Kazík, Ondřej
n3:typAkce
n11:WRD
n3:zahajeniAkce
2014-08-19+02:00
s:issn
1613-0073
s:numberOfPages
2
n12:hasPublisher
CEUR-WS
n13:organizacniJednotka
11320