MINING OF CRIMINAL MINDSET AND GEOSPATIAL CRIME PATTERN DETECTION

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Published: Dec 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i9.4862
Keywords:
Data Mining, K-Means clustering, Crime, Criminal, Mindset

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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.

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Article Details

Issue
Vol. 8 No. 9 (2017): NOVEMBER-DECEMBER 2017
Section
Articles

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