Survey: Crime Prediction using Machine Learning Approach

  • Esraa Faisal Khalaf Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Iraq, Baghdad
  • Ali Hasan Taresh University of Information Technology and Communications (UolTC), Baghdad, Iraq
Keywords: Crime, Prediction, Forecasting, Machine Learning

Abstract

The presented studies have proven that machine learning algorithms The field of machine learning (ML) is expanding as more people realize how important it can be in a variety of crucial applications, including data mining, natural language processing, picture recognition, and expert systems. As it is well known that ML offers possible answers in all these domains and more, it is destined to be one of the pillars of our future civilization. This article presents an outline of the function of machine learning in prediction. algorithms have excelled in solving prediction and classification problems. Below We highlight the machine learning algorithms and techniques used in predicting crimes in particular, and the accuracy of the results obtained by each study or research. We see the challenges faced by a study or researcher who used machine learning algorithms and we hope with this paper, providing the researcher, in particular, with information covering the most important studies or research presented during the past five years to abbreviate the time of the researcher, and in the interest of his effort.

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References

[1] S. Mahmud, M. Nuha, and A. Sattar, Crime Rate Prediction Using Machine Learning and Data Mining, vol. 1248, no. June. Springer Singapore, 2021.
[2] K. Kyoung-Sook and J. Yeong-Hoon, “A Study on Crime Prediction to Reduce Crime Rate Based on Artificial Intelligence,” Korean J. Artif. Intell., vol. 9, no. 1, pp. 15–20, 2021.
[3] P. Tamilarasi and R. U. Rani, “Diagnosis of Crime Rate against Women using k-fold Cross Validation through Machine Learning,” Proc. 4th Int. Conf. Comput. Methodol. Commun. ICCMC 2020, no. Iccmc, pp. 1034–1038, 2020, doi: 10.1109/ICCMC48092.2020.ICCMC-000193.
[4] M. Munasinghe, H. Perera, S. Udeshini, and R. Weerasinghe, “Machine Learning based criminal short listing using Modus Operandi features,” 15th Int. Conf. Adv. ICT Emerg. Reg. ICTer 2015 - Conf. Proc., no. November, pp. 69–76, 2016, doi: 10.1109/ICTER.2015.7377669.
[5] [ H. Aitelbour, S. Ounacer, Y. Elghomari, H. Jihal, and M. Azzouazi, “A crime prediction model based on spatial and temporal data,” no. November 2018, 2019, doi: 10.21533/pen. v6i2.524.
[6] A. Soares, “Predicting Crime Using Spatial Features,” no. March, 2018.
[7] S. K. Rumi, K. Deng, and F. D. Salim, “Crime event prediction with dynamic features,” EPJ Data Sci., vol. 7, no. 1, 2018, doi: 10.1140/epjds/s13688-018-0171-7.
[8] K. A. Bokde, T. P. Kakade, D. S. Tumsare, and C. G. Wadhai, “Crime Detection Technique Using Data Mining and K - Means,” vol. 7, no. 02, pp. 223–226, 2018.
[9] E. Ahishakiye, E. O. Omulo, D. Taremwa, and I. Niyonzima, “Crime prediction using Decision Tree (J48) classification algorithm,” Int. J. Comput. Inf. Technol., no. May, 2017.
[10] T. T. Nguyen, A. Hatua, and A. H. Sung, “Building a Learning Machine Classifier with Inadequate Data for Crime Prediction,” J. Adv. Inf. Technol., vol. 8, no. 2, pp. 141–147, 2017, doi: 10.12720/jait.8.2.141-147.
[11] M. S. Vural, M. Gok, and Z. Yetgin, “Generating incident-level artificial data using GIS based crime simulation,” 2013 Int. Conf. Electron. Comput. Comput. ICECCO 2013, no. May 2017, pp. 239–242, 2013, doi: 10.1109/ICECCO.2013.6718273.
[12] M. S. Vural and M. Gök, “Criminal prediction using Naive Bayes theory,” Neural Comput. Appl., no. September, 2017, doi: 10.1007/s00521-016-2205-z.
[13] A. Awal, J. Rabbi, S. I. Hossain, and M. M. A. Hashem, “Using Linear Regression to Forecast Future Trends in Crime of Bangladesh,” no. May, 2016, doi: 10.1109/ICIEV.2016.7760021.
[14] T. Almanie, R. Mirza, and E. Lor, “Crime Prediction Based on Crime Types and Using Spatial and Temporal Criminal Hotspots,” Int. J. Data Min. Knowl. Manag. Process, vol. 5, no. 4, pp. 01–19, 2015, doi: 10.5121/ijdkp.2015.5401.
[15] A. Ristea and M. Leitner, “Integration of social media in spatial crime analysis and prediction models for events,” CEUR Workshop Proc., vol. 2088, 2017.
[16] U.K. Crime data, https://data.police.uk/data/.
[17] https://en.wikipedia.org/wiki/Data_analysis
[18] H. K. R. Toppireddy, B. Saini, and G. Mahajan, “Crime Prediction & Monitoring Framework Based on Spatial Analysis,” in Procedia Computer Science, 2018, vol. 132, pp. 696–705, doi: 10.1016/j.procs.2018.05.075.
[19] Mittal M, Goyal LM, Sethi JK, Hemanth DJ (2019) Monitoring the impact of economic crisis on crime in India using machine learning. Comput Econ 53(4):1467–1485.
[20] Kadar C, Pletikosa I (2018) Mining large-scale human mobility data for long-term crime prediction. EPJ Data Sci 7(1):26.
Published
2022-08-12
How to Cite
Khalaf, E., & Taresh, A. (2022). Survey: Crime Prediction using Machine Learning Approach. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(3), Comp Page 51-57. https://doi.org/10.29304/jqcm.2022.14.3.986
Section
Computer article