This HTML5 document contains 40 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

Prefix	IRI
n17	http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dcterms	http://purl.org/dc/terms/
n20	http://localhost/temp/predkladatel/
n16	http://purl.org/net/nknouf/ns/bibtex#
n10	http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n19	http://linked.opendata.cz/ontology/domain/vavai/
n13	https://schema.org/
s	http://schema.org/
n4	http://linked.opendata.cz/ontology/domain/vavai/riv/
rdfs	http://www.w3.org/2000/01/rdf-schema#
skos	http://www.w3.org/2004/02/skos/core#
n2	http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
n12	http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61384399%3A31140%2F14%3A00044389%21RIV15-MSM-31140___/
n5	http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n18	http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdh	http://www.w3.org/2001/XMLSchema#
n21	http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n9	http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n8	http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7	http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11	http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item

n2:RIV%2F61384399%3A31140%2F14%3A00044389%21RIV15-MSM-31140___

rdf:type

skos:Concept n19:Vysledek

rdfs:seeAlso

http://znalosti.eu/images/accepted_papers/znalosti2014_paper11.pdf

dcterms:description

Main topics of the document: data mining; association rules; background knowledge; knowledge base Main topics of the document: data mining; association rules; background knowledge; knowledge base

dcterms:title

Concept of Semantic Knowledge Base for Data Mining of Business Rules Concept of Semantic Knowledge Base for Data Mining of Business Rules

skos:prefLabel

Concept of Semantic Knowledge Base for Data Mining of Business Rules Concept of Semantic Knowledge Base for Data Mining of Business Rules

skos:notation

RIV/61384399:31140/14:00044389!RIV15-MSM-31140___

n4:aktivita

n21:S

n4:aktivity

S

n4:dodaniDat

n11:2015

n4:domaciTvurceVysledku

n10:7167873

n4:druhVysledku

n8:D

n4:duvernostUdaju

n18:S

n4:entitaPredkladatele

n12:predkladatel

n4:idSjednocenehoVysledku

8541

n4:idVysledku

RIV/61384399:31140/14:00044389

n4:jazykVysledku

n9:eng

n4:klicovaSlova

data mining; association rules; background knowledge; knowledge base

n4:klicoveSlovo

n5:background%20knowledge n5:knowledge%20base n5:data%20mining n5:association%20rules

n4:kontrolniKodProRIV

[ADEEA7B3600C]

n4:mistoKonaniAkce

Jasná pod Chopkom

n4:mistoVydani

Praha

n4:nazevZdroje

Znalosti 2014 Exhibice, Edukace a nacházení Expertů - Exhibition, Education and Expert finding

n4:obor

n7:IN

n4:pocetDomacichTvurcuVysledku

1

n4:pocetTvurcuVysledku

1

n4:rokUplatneniVysledku

n11:2014

n4:tvurceVysledku

Vojíř, Stanislav

n4:typAkce

n17:WRD

n4:zahajeniAkce

2014-09-26+02:00

s:numberOfPages

5

n16:hasPublisher

KIZI FIS

n13:isbn

978-80-245-2054-4

n20:organizacniJednotka

31140