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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F13%3A%230002309%21RIV14-MSM-19520___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
The authors of the paper present an approach for datamining methods combination (method for association rules extraction and clustering method are combined) which is used for synthetic social networks construction which afterwards represents potentially interesting relations in analyzed data. Described approach is feasible for general data, principles of described approach, examples and experiments are illustrated on a part of unique database, which contain data about terroristic attack committed on all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database. The authors of the paper present an approach for datamining methods combination (method for association rules extraction and clustering method are combined) which is used for synthetic social networks construction which afterwards represents potentially interesting relations in analyzed data. Described approach is feasible for general data, principles of described approach, examples and experiments are illustrated on a part of unique database, which contain data about terroristic attack committed on all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.
dcterms:title
Building synthetic social networks using association rules and clustering methods: case study on global terrorism database Building synthetic social networks using association rules and clustering methods: case study on global terrorism database
skos:prefLabel
Building synthetic social networks using association rules and clustering methods: case study on global terrorism database Building synthetic social networks using association rules and clustering methods: case study on global terrorism database
skos:notation
RIV/47813059:19520/13:#0002309!RIV14-MSM-19520___
n14:predkladatel
n15:orjk%3A19520
n4:aktivita
n10:I
n4:aktivity
I
n4:cisloPeriodika
2013
n4:dodaniDat
n16:2014
n4:domaciTvurceVysledku
n7:1797190 n7:6108229
n4:druhVysledku
n11:J
n4:duvernostUdaju
n12:S
n4:entitaPredkladatele
n9:predkladatel
n4:idSjednocenehoVysledku
64014
n4:idVysledku
RIV/47813059:19520/13:#0002309
n4:jazykVysledku
n18:eng
n4:klicovaSlova
association rules; community analysis; graph visualization; synthetic social network
n4:klicoveSlovo
n5:graph%20visualization n5:synthetic%20social%20network n5:community%20analysis n5:association%20rules
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[7C1876710159]
n4:nazevZdroje
Acta academica karviniensia
n4:obor
n8:IN
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n16:2013
n4:svazekPeriodika
3
n4:tvurceVysledku
SLANINOVÁ, Kateřina GÓRECKI, Jan
s:issn
1212-415X
s:numberOfPages
13
n17:organizacniJednotka
19520