Abstract
In this chapter, we propose a framework for co-offence prediction using supervised learning. Even though supervised learning methods for link prediction have been studied widely (Hasan et al, Proceedings of SIAM international conference on data mining (SDM ’06), 2006; Liben-Nowell and Kleinberg, Proceedings of the 12st ACM international conference on information and knowledge management (CIKM’03), 2003; Lichtenwalter et al, Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining (KDD’10), 2010; Wang et al, Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining (ICDM’07), 2007), to the best of our knowledge, there is no study on supervised learning for co-offence prediction.
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Tayebi, M.A., Glässer, U. (2016). Co-offence Prediction. In: Social Network Analysis in Predictive Policing. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-41492-8_6
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DOI: https://doi.org/10.1007/978-3-319-41492-8_6
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