Abstract
A significant improvement in big data analytics has motivated the radical change in the scientific study of crime and criminals. In terms of criminal activities, it has been observed that alcohol has a great influence in most of the cases. The main goals of our research are to analyze different types of violence happening in Nova Scotia and to apply machine learning techniques to model the relationships between alcohol consumption and violence. In many machine learning algorithms, it is assumed that, the training and testing data must be in the same distribution and feature space. Because of limited amount of Nova Scotia criminal activity data, the need of transfer learning arises which helps to gain knowledge from different domains. The results of our studies show a very satisfactory classification performance on Nova Scotia data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Canadian alcohol and drug use monitoring survey. Statistics Canada (2012)
Annual Report. EHS Nova Scotia Trauma Program (2014)
Breiman, L.: Random forests. Mach. Learn. 45, 5–32 (2001)
Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and Regression Trees, 1st edn. Chapman and Hall, Boca Raton (1984)
Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)
Exum, M.L.: Alcohol and aggression: an integration of findings from experimental studies. J. Crim. Justice 34(2), 131–145 (2006)
Gao, J., Fan, W., Jiang, J., Han, J.: Knowledge transfer via multiple model local structure mapping. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008, New York, USA, pp. 283–291. ACM (2008)
Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345–1359 (2010)
Schrans, T., Schellinck, T., Macdonald, K.: Culture of alcohol use in Nova Scotia. Nova Scotia Health Promotion and Protection (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Bappee, F.K. (2017). Identification and Classification of Alcohol-Related Violence in Nova Scotia Using Machine Learning Paradigms. In: Mouhoub, M., Langlais, P. (eds) Advances in Artificial Intelligence. Canadian AI 2017. Lecture Notes in Computer Science(), vol 10233. Springer, Cham. https://doi.org/10.1007/978-3-319-57351-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-57351-9_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57350-2
Online ISBN: 978-3-319-57351-9
eBook Packages: Computer ScienceComputer Science (R0)