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An Intelligent Framework for Predicting State War Engagement from Territorial Data

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Green, Pervasive, and Cloud Computing (GPC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10232))

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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.

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Notes

  1. 1.

    http://www.correlatesofwar.org/.

  2. 2.

    http://www.correlatesofwar.org/data-sets/national-material-capabilities.

  3. 3.

    http://www.correlatesofwar.org/data-sets/bilateral-trade.

  4. 4.

    http://www.correlatesofwar.org/data-sets/COW-war.

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Author information

Authors and Affiliations

  1. Department of Physics “Ettore Pancini”, University of Naples Federico II, 80126, Naples, Italy

    Giovanni Acampora

  2. Department of Computer Science, University of Salerno, 84084, Fisciano, Italy

    Genoveffa Tortora & Autilia Vitiello

Authors
  1. Giovanni Acampora
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  2. Genoveffa Tortora
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  3. Autilia Vitiello
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Corresponding author

Correspondence to Autilia Vitiello .

Editor information

Editors and Affiliations

  1. Hong Kong Polytechnic University, Hong Kong, Hong Kong

    Man Ho Allen Au

  2. University of Salerno, Fisciano, Italy

    Arcangelo Castiglione

  3. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  4. University of Salerno, Fisciano, Italy

    Francesco Palmieri

  5. Providence University, Taichung City, Taiwan

    Kuan-Ching Li

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Acampora, G., Tortora, G., Vitiello, A. (2017). An Intelligent Framework for Predicting State War Engagement from Territorial Data. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_51

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  • DOI: https://doi.org/10.1007/978-3-319-57186-7_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57185-0

  • Online ISBN: 978-3-319-57186-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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