MINING OF CRIMINAL MINDSET AND GEOSPATIAL CRIME PATTERN DETECTION

Anchal Oberai, Malika Jain, Gautam Khosla, Monika Arora, Priyanka Dewan

Abstract


The current scenario is witnessing an exponential increase in the crime rate in many countries. Therefore, to combat this upsurge, data mining has been a vital concept adopted by the law enforcers for prediction and analysis. Data mining is the practice of examining large pre-existing databases in order to generate new and useful information. This paper introduces a methodology of mining the psychological behavior of criminals based on the type of crime committed, the motive behind it and by analyzing the relationship between the criminal and the victim. It also includes Geospatial (state-wise) crime pattern detection. The analysis has been done on real crime data by using K-means clustering algorithm.

Keywords


Data Mining, K-Means clustering, Crime, Criminal, Mindset

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References


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DOI: https://doi.org/10.26483/ijarcs.v8i9.4862

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