BUILDING SYNTHETIC SOCIAL NETWORKS USING ASSOCIATION RULES AND CLUSTERING METHODS: CASE STUDY ON GLOBAL TERRORISM DATABASE
Jan Górecki, Kateřina Slaninová · Acta academica karviniensia · 2013
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 potentially interesting 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 all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.