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Abstract

An approach for crime detection in India using Data mining techniques is proposed in this paper. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Data mining techniques are often applied to Criminology as it provides good results. Criminology is a field which studies about various crime characteristics. Analyzing crime data means exploring crime data. Crime is identified using k-means clustering and the clusters are formed based on the similarity of the crime attributes. The Random Forest algorithm and neural networks are applied on the data for classification. Visualization is achieved using the Google marker clustering and the crime spots are marked on the India map. This approach will benefit the Crime department of India in analyzing crime with better prediction.

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How to Cite
S.Anbukkarasi, S. Deepa Karthik, P. GopalaKrishnan, & V.Rathika. (2021). Crime analysis and prediction of crime data using mining. International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1111–1115. Retrieved from https://ijiarec.com/ijiarec/article/view/198