Abstract
Due to dramatic increase of crime rate, human skills for accessing the massive volume of data is about to diminish. So application of several data mining techniques can be beneficial for achieving insights on the crime patterns which will help the law enforcement prevent the crime with proper crime prevention strategies. This present work collects crime records for kidnapping, murder, rape and dowry death and analyses the crime trend in Indian states and union territories by applying various classification techniques. Analysing the crime would be much easier by the prediction rates shown in this work, and the effectiveness of these techniques is evaluated by accuracy, precision, recall and F-measure. This work also describes a comparative study for different classification algorithms used.
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Das, P., Das, A.K. (2019). Application of Classification Techniques for Prediction and Analysis of Crime in India. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_18
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DOI: https://doi.org/10.1007/978-981-10-8055-5_18
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