This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n15http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n14http://localhost/temp/predkladatel/
n9http://purl.org/net/nknouf/ns/bibtex#
n12http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n5http://linked.opendata.cz/resource/domain/vavai/projekt/
n19http://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/
n11http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F14%3A10287868%21RIV15-GA0-11320___/
n17http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n20http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10287868%21RIV15-GA0-11320___
rdf:type
skos:Concept n19:Vysledek
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S1877050914013477#
dcterms:description
The Czech Insolvency Register contains publicly available data concerning more than 100 000 insolvency proceedings. Modern data mining methods represent an appealing approach to analyze these huge amounts of open source data. In this context, especially the techniques of Bayesian networks and social network analysis seem to reveal several new socio-economic patterns present in the current Czech society. The Czech Insolvency Register contains publicly available data concerning more than 100 000 insolvency proceedings. Modern data mining methods represent an appealing approach to analyze these huge amounts of open source data. In this context, especially the techniques of Bayesian networks and social network analysis seem to reveal several new socio-economic patterns present in the current Czech society.
dcterms:title
Mining the Czech Insolvency Proceedings Data Mining the Czech Insolvency Proceedings Data
skos:prefLabel
Mining the Czech Insolvency Proceedings Data Mining the Czech Insolvency Proceedings Data
skos:notation
RIV/00216208:11320/14:10287868!RIV15-GA0-11320___
n3:aktivita
n21:P
n3:aktivity
P(GAP103/10/0783), P(GAP202/10/1333)
n3:dodaniDat
n20:2015
n3:domaciTvurceVysledku
n12:5375762 n12:6046797
n3:druhVysledku
n18:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
29486
n3:idVysledku
RIV/00216208:11320/14:10287868
n3:jazykVysledku
n16:eng
n3:klicovaSlova
community discovery; social network analysis; data pre-processing; knowledge extraction; data mining
n3:klicoveSlovo
n7:social%20network%20analysis n7:data%20pre-processing n7:data%20mining n7:knowledge%20extraction n7:community%20discovery
n3:kontrolniKodProRIV
[5F422E63AC60]
n3:mistoKonaniAkce
Philadelphia, USA
n3:mistoVydani
Netherlands
n3:nazevZdroje
Complex Adaptive Systems Philadelphia, PA November 3-5, 2014
n3:obor
n4:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n5:GAP202%2F10%2F1333 n5:GAP103%2F10%2F0783
n3:rokUplatneniVysledku
n20:2014
n3:tvurceVysledku
Mrázová, Iveta Zvirinský, Peter
n3:typAkce
n15:WRD
n3:zahajeniAkce
2014-11-03+01:00
s:issn
1877-0509
s:numberOfPages
6
n17:doi
10.1016/j.procs.2014.09.098
n9:hasPublisher
Elsevier
n14:organizacniJednotka
11320