A Survey of Data Mining Techniques for Crime Detection

  • Shamaila Qayyum
  • Hafsa Shareef Dar
Keywords: Data Mining, Crime detection, Clustering


In large datasets, data mining is one of the most powerful ways of knowledge extraction or we can say it is one of the
best approaches to detect underlying relationships among data with the help of machine learning and artificial intelligence
techniques. Crime Detection is one of the hot topics in data mining where different patterns of criminology are identified. It includes
variety of steps, starting from identification of crime characterization till detection of crime pattern. For this purpose, various crime
detection techniques have been discussed in literature. In this paper, we have selected widely adapted data mining techniques that
are specifically used for crime detection. The analytical study is presented with an extraction in form of strengths and weakness of
each technique. Each technique is specific to its use. This survey would serve as a helping guide to researchers to get state of the
art crime detection techniques in data mining along with pros and cons.

How to Cite
Qayyum, S., & Dar, H. S. (2018). A Survey of Data Mining Techniques for Crime Detection. University of Sindh Journal of Information and Communication Technology , 2(1), 1-6. Retrieved from https://sujo.usindh.edu.pk/index.php/USJICT/article/view/500

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