About: Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Spread of terrorism threat over the world is more than obvious during last years. Terrorism attacks have been practiced by a wide array of organizations or groups for achieving their objectives. We can include political parties, nationalistic and religious groups, revolutionaries, ruling governments or others. Due to this fact the need of observing and discovering relations and rules of behavior based on terrorism incidents becomes very important. The authors of the paper present the usage of data mining techniques like clustering methods or association rule mining methods for discovering and representation of latent and potentially useful relations in the data. The purpose of the paper is to model synthetic social network based on relations obtained from the data about terroristic incidents to found new, often latent or unexpected characteristics and patterns of the data. Spread of terrorism threat over the world is more than obvious during last years. Terrorism attacks have been practiced by a wide array of organizations or groups for achieving their objectives. We can include political parties, nationalistic and religious groups, revolutionaries, ruling governments or others. Due to this fact the need of observing and discovering relations and rules of behavior based on terrorism incidents becomes very important. The authors of the paper present the usage of data mining techniques like clustering methods or association rule mining methods for discovering and representation of latent and potentially useful relations in the data. The purpose of the paper is to model synthetic social network based on relations obtained from the data about terroristic incidents to found new, often latent or unexpected characteristics and patterns of the data. (en)
Title	Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks (en)
skos:prefLabel	Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks (en)
skos:notation	RIV/47813059:19520/11:#0001538!RIV12-MSM-19520___
http://linked.open...avai/riv/aktivita	O
http://linked.open...avai/riv/aktivity	O
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Górecki, Jan Slaninová, Kateřina
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Slezská univerzita v Opavě / Obchodně podnikatelská fakulta v Karviné
http://linked.open...dnocenehoVysledku	186758
http://linked.open...ai/riv/idVysledku	RIV/47813059:19520/11:#0001538
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	terrorism incidents, modeling latent relations, data mining, association rules mining, social network analysis, community analysis, behavior (en)
http://linked.open.../riv/klicoveSlovo	association rules mining modeling latent relations terrorism incidents behavior community analysis data mining social network analysis
http://linked.open...ontrolniKodProRIV	[A140B27F685F]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Proceedings of Distance Learning, Simulation and Communication, DLSC 2011
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Górecki, Jan Slaninová, Kateřina
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-05-10 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Univerzita obrany
https://schema.org/isbn	978-80-7231-695-3
http://localhost/t...ganizacniJednotka	19520

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 49 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software