Abstract
Terrorist attacks are the most significant challenging issue for the humankind across the world, which need the whole attention of all nations. No doubt, that the terrorism attacks in Egypt negatively affect its economy and decreases its opportunities for foreign investments in the last decade. In this paper, statistical techniques will be applied to terrorism attacks occurred in Egypt in the last four decades. The used database in this study is the Global Terrorism Database (GTD), which is published by the University of Maryland. Statistical insights graphs will be presented in the paper. In addition, association-mining algorithms will be used to find the frequent hidden patterns in the database. Those algorithms help in generating composite rules by mining the database, which generates deeper meaningful insights. The statistical insights and association mining will help to understand the nature of terrorist attacks in Egypt. Moreover, it will give the decision-makers the knowledge to overcome and step ahead the terrorist attacks before occurring. This will reflect on Egypt economy positively and increases the opportunities to have better investments and encourage the return of tourism.
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References
Murphy, C.: Passion for Islam: Shaping the Modern Middle East: the Egyptian Experience. Simon and Schuster, New York City (2002)
Ganor, B.: Terrorism in the twenty-first century. In: Shapira, S.C., Hammond, J.S., Cole, L.A. (eds.) Essentials of Terror Medicine, pp. 13–26. Springer, New York (2009)
Elhajj, A., et al.: Estimating the importance of terrorists in a terror network. In: Özyer, T., Erdem, Z., Rokne, J., Khoury, S. (eds.) Mining Social Networks and Security Informatics, pp. 267–283. Springer, Dordrecht (2013)
Qin, J., Xu, J.J., Hu, D., Sageman, M., Chen, H.: Analyzing terrorist networks: a case study of the global salafi jihad network. In: Intelligence and Security Informatics, pp. 287–304 (2005)
Institute for Economics and Peace: Global Terrorism Index 2016: Measuring and Understanding the Impact of Terrorism. The Institute for Economics and Peace (IEP) (2016)
Kotb, M.A., Elmahdy, H.N., Khalifa, N.E.D.M., El-Deen, M.H.N., Lotfi, M.A.N.: Pediatric online evidence-based medicine assignment is a novel effective enjoyable undergraduate medical teaching tool: a SQUIRE compliant study. Medicine 94(29), e1178 (2015)
Solanki, S.K., Patel, J.T.: A survey on association rule mining. In: 2015 Fifth International Conference on Advanced Computing and Communication Technologies, pp. 212–216 (2015)
Institute for Economics and Peace: Global Terrorism Index 2017: Measuring and Understanding the Impact of Terrorism. The Institute for Economics and Peace (IEP) (2017)
Hegde, L.V., Sreelakshmi, N., Mahesh, K.: Visual analytics of terrorism data. In: 2016 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp. 90–94 (2016)
Li, Z., Sun, D., Chen, H., Huang, S.-Y.: Identifying the socio-spatial dynamics of terrorist attacks in the middle east. In: 2016 IEEE Conference on Intelligence and Security Informatics (ISI), pp. 175–180 (2016)
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Khalifa, N.E.M., Taha, M.H.N., Taha, S.H.N., Hassanien, A.E. (2020). Statistical Insights and Association Mining for Terrorist Attacks in Egypt. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_29
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DOI: https://doi.org/10.1007/978-3-030-14118-9_29
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