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

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Distance Learning, Simulation and Communication, DLSC 2011

ISBN

978-80-7231-695-3

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

204-210

Název nakladatele

Univerzita obrany Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

10. 5. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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