Predictive Geospatial Crime Data Analysis and Their Association with Demographic Features Through Machine Learning Approaches
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3089-8_52
Reference19 articles.
1. Bogomolov, A., Lepri, B., Staiano, J., Oliver, N., Pianesi, F., Pentland, A.: Once upon a crime: towards crime prediction from demographics and mobile data. In: Proceedings of the 16th International Conference on Multimodal Interaction, pp. 427–434 (2014)
2. Adel, H., Salheen, M., Mahmoud, R.A.: Crime in relation to urban design. Case study: the Greater Cairo Region. Ain Shams Eng. J. 7(3), 925–938 (2016)
3. Iqbal, R., Murad, M.A.A., Mustapha, A., Panahy, P.H.S., Khanahmadliravi, N.: An experimental study of classification algorithms for crime prediction. Indian J. Sci. Technol. 6(3), 4219–4225 (2013)
4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);FK Bappee,2018
5. Zhao, X., Tang, J.: Exploring transfer learning for crime prediction. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1158–1159 (2017)
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