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


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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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.
Computer article