Involvement of a state in a war is one of the risks that have a relevant impact on society. Effective prediction of the possibility that a state is going to engage in a war is an important decision support tool for avoiding international crisis and safeguarding social well-being. The paper presents the proposal of an intelligent framework aimed to predict the engagement of a state in a war by using national territorial data captured in a digital knowledge ecosystem composed of local business companies and corporations’ information systems. As shown by preliminary results, the proposed framework is feasible to achieve the designed goal. © Springer International Publishing AG 2017.

An intelligent framework for predicting state war engagement from territorial data / Acampora, Giovanni; Tortora, Genoveffa; Vitiello, Autilia. - 10232 LNCS:(2017), pp. 712-721. (Intervento presentato al convegno International Conference on Green, Pervasive, and Cloud Computing) [10.1007/978-3-319-57186-7_51].

An intelligent framework for predicting state war engagement from territorial data

Acampora Giovanni;Vitiello Autilia
2017

Abstract

Involvement of a state in a war is one of the risks that have a relevant impact on society. Effective prediction of the possibility that a state is going to engage in a war is an important decision support tool for avoiding international crisis and safeguarding social well-being. The paper presents the proposal of an intelligent framework aimed to predict the engagement of a state in a war by using national territorial data captured in a digital knowledge ecosystem composed of local business companies and corporations’ information systems. As shown by preliminary results, the proposed framework is feasible to achieve the designed goal. © Springer International Publishing AG 2017.
2017
9783319571850
An intelligent framework for predicting state war engagement from territorial data / Acampora, Giovanni; Tortora, Genoveffa; Vitiello, Autilia. - 10232 LNCS:(2017), pp. 712-721. (Intervento presentato al convegno International Conference on Green, Pervasive, and Cloud Computing) [10.1007/978-3-319-57186-7_51].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/694117
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