Building synthetic social networks using association rules and clustering methods: case study on global terrorism database

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F13%3A%230002309" target="_blank" >RIV/47813059:19520/13:#0002309 - 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

Building synthetic social networks using association rules and clustering methods: case study on global terrorism database

Original language 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 potentiallyinteresting 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 allover the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

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

Name of the periodical

Acta academica karviniensia

ISSN

1212-415X

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

2013

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

13

Pages from-to

56-68

UT code for WoS article

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EID of the result in the Scopus database

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