Finding Patterns of Terrorist Groups in Iraq: A Knowledge Discovery Analysis
Alfredo Cruz
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Finding Patterns of Terrorist Groups in Iraq: A Knowledge Discovery Analysis | ||
| Published in: | Engineering for a Smarter Planet: Innovation, ITC, and Computational Tools for Sustainable Development: Proceedings of the 9th Latin American and Caribbean Conference for Engineering and Technology | |
| Date of Conference: | August 3-5, 2011 | |
| Location of Conference: | Medellin, Colombia | |
| Authors: | Steven Nieves Alfredo Cruz | |
| Refereed Paper: | #142 | |
Abstract | ||
| In this paper we explore the application of data mining to model terrorism activity in Iraq. To this end, we experiment with the use of data mining algorithms to support in the process of the identification of terrorism patterns. We applied data mining techniques to real terrorism data from the Global Terrorism Database (GTD) of the National Consortium for the Study of Terrorism and Responses to Terrorism (START). The data mining techniques used in this study discovers inherent information of different terrorist organizations according to the different types of terrorist acts they commit. The results in this paper should be practical not only for counter terrorism security analysts, but also to determine prioritization and geographical allocation of military and law enforcement resources. | ||