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Crime is a behavior deviation from normal activity of the norms giving people losses and harms. Crimes are a social nuisance and cost their society dearly in several ways. In this paper, the authors look at use of missing value and clustering algorithm for crime data using data mining. They will look at MV algorithm and Apriori algorithm with some enhancements to aid in the process of filling the missing value and identification of crime patterns. They applied these techniques to real crime data. Crime prevention is a significant issue that people are dealing with for centuries. They also use semi-supervised learning technique in this paper for knowledge discovery from the crime records and to help increase the predictive accuracy.
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