Time Series Analysis and Crime Pattern Forecasting of City Crime Data

Author:

Marzan Charlie S.1,Baculo Maria Jeseca C.1,de Dios Bulos Remedios1,Ruiz Conrado1

Affiliation:

1. De La Salle University, Manila City, Philippines

Publisher

ACM Press

Reference21 articles.

1. Jabar, E. K., Hashem S. H., and Hessian E. M. 2013. Propose data mining AR-GA model to advance crime analysis. IOSR Journal of Computer Engineering 14, 5 (September - October 2013), 38--45.

2. Agarwal, A., Chougule, D., Agrawal A., and Chimote, D. 2016. Application for analysis and prediction of crime data using data mining. In Proceedings of IRF-IEEEforum International Conference, IEEE, Pune, India, 35--38.

3. Flaxman, S. R. 2014. A general approach to prediction and forecasting crime rates with Gaussian processes. Carnegie Mellon University, Pittsburgh, Pennsylvania.

4. Zubi, Z. S. and Mahmmud A. A. 2014. Crime data analysis using data mining techniques to improve crimes prevention. International Journal of Computers 8, 39--45.

5. Zhou, G., Lin, J., and Zheng, W. 2012. A web-based geographical information system for crime mapping and decision support. In Proceedings of the 2012 International Conference on Computational Problem-Solving, IEEE, Leshan, China, 147--150. DOI= 10.1109/ICCPS.2012.6384228.

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