Visual investigation of similarities in global terrorism database by means of synthetic social networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085145" target="_blank" >RIV/61989100:27240/11:86085145 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/47813059:19520/11:#0002012

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CASON.2011.6085954" target="_blank" >http://dx.doi.org/10.1109/CASON.2011.6085954</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CASON.2011.6085954" target="_blank" >10.1109/CASON.2011.6085954</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Visual investigation of similarities in global terrorism database by means of synthetic social networks

Popis výsledku v původním jazyce

During the last years, terrorist attacks over the world no longer can be considered as only sporadic accidents. This topic became an important problem and is solved as a global threat across several scientific disciplines. Terrorist 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 discoveringrelations and rules of behavior based on terrorism incidents becomes very important. The authors of the paper present the usage of clustering methods and association rule mining methods for discovering and representation of potentially interesting similarities 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 facilitate visual investigation of similarities in data and to study the network ev

Název v anglickém jazyce

Visual investigation of similarities in global terrorism database by means of synthetic social networks

Popis výsledku anglicky

During the last years, terrorist attacks over the world no longer can be considered as only sporadic accidents. This topic became an important problem and is solved as a global threat across several scientific disciplines. Terrorist 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 discoveringrelations and rules of behavior based on terrorism incidents becomes very important. The authors of the paper present the usage of clustering methods and association rule mining methods for discovering and representation of potentially interesting similarities 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 facilitate visual investigation of similarities in data and to study the network ev

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

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 the 2011 International Conference on Computational Aspects of Social Networks, CASoN 2011

ISBN

978-1-4577-1131-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

255-260

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Salamanca

Datum konání akce

19. 10. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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