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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F11%3A%230001538" target="_blank" >RIV/47813059:19520/11:#0001538 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Application of Data Mining Technologies for Modeling Latent Relations Based on Terrorist Incidents in Context of Synthetic Social Networks
Original language 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.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
7
Pages from-to
204-210
Publisher name
Univerzita obrany Brno
Place of publication
Brno
Event location
Brno
Event date
May 10, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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