Abstract
The paper presents the experiments to detect terrorism incidence type from news summary data. We have applied classification techniques on news summary data to analyze the incidence and detect the type of incidence. A number of experiments are conducted using various classification algorithms and results show that a simple decision tree classifier can learn incidence type with satisfactory results from news data.
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References
Laura, D., Gary, L., Piquero, A.R.: Testing a Rational Choice Model of Airline Hijackings. Criminology 43, 1031–1065 (2005)
Robert, G., Laura, D., LaFree, G.: The Impact of Terrorism on Italian Employment and Business Activity. Urban Studies 44, 1093–1108 (2007)
Gary, L., Laura, D.: Tracking Global Terrorism, 1970-2004. In: Weisburd, D., Feucht, T., Hakimi, I., Mock, L., Perry, S. (eds.) To Protect and to Serve: Police and Policing in an Age of Terrorism. Springer, New York (2009)
Gary, L., Laura, D., Korte, R.: The Impact of British Counter Terrorist Strategies on Political Violence in Northern Ireland: Comparing Deterrence and Backlash Models. Criminology 47, 501–530 (2009)
Gary, L., Yang, S.-M., Crenshaw, M.: Trajectories of Terrorism: Attack Patterns of Foreign Groups that have targeted the United States, 1970 to 2004. Criminology and Public Policy 8, 445–473 (2009)
Guo, D., Liao, K., Morgan, M.: Environment and Planning B: Planning and Design. Visualizing patterns in a global terrorism incident database 34, 767–784 (2007)
Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A., Liu, B., Yu, P.S., Zhou, Z.H., Steinbach, M., Hand, D.J., Steinberg, D.: Top 10 algorithms in data mining, Survey paper. Springer, Heidelberg (2007)
Quinlan, J.R.: Induction of decision trees. Journal of Machine Learning 1, 81–106 (1986)
Quinlan, J.R.: C4.5: Programs for machine learning. Machine Learning, vol. 16, pp. 235–240. Springer, Heidelberg (1993)
McCallum, D.J.: Nigam. K.: A Comparison of event models for Naive Bayes text classification. Technical Report. Workshop on learning for text categorization. pp. 41–48 (1998)
Joachims, T.: A statistical learning model of text classification for Support Vector Machines. In: International ACM SIGIR Conference on Research and Development in Information Retrieval (2001)
Vapnik, V.: The nature of statistical theory. Springer, Heidelberg (1995)
Hall, M., Frank, E., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data mining software: An Update. SIGKDD Explorations 11(1) (2009)
Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1–47 (2002)
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Nizamani, S., Memon, N. (2012). Detecting Terrorism Incidence Type from News Summary. In: Thaung, K. (eds) Advanced Information Technology in Education. Advances in Intelligent and Soft Computing, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25908-1_14
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DOI: https://doi.org/10.1007/978-3-642-25908-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25907-4
Online ISBN: 978-3-642-25908-1
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