Spatial Patterns of Crimes in India using Data Mining Techniques

Shafeeq, Ahamed B M and Binu, VS (2014) Spatial Patterns of Crimes in India using Data Mining Techniques. International Journal of Engineering and Innovative Technology (IJEIT) , 3 (11). pp. 291-295. ISSN 2277-3754

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Applications of spatial data analytical techniques have increased in the last few years in almost all fields. Some of the applications are decision making in regional governance, to maintain law and order, disaster prediction and many more. The main objective of this paper is to study the influence of neighboring states crime-rate with the reference state using spatial data mining techniques. In our study, we take the GDP, literacy-rate, police-rate, Employment-rate and various crimes such as murder, dacoit and riots and the state as location data. The aim of the paper is to check the correlation between various crimes. The whole work is divided into two parts: 1) to check spatial autocorrelation between various crimes 2) to compare various attribute clusters and its relation. The spatial distribution of various crimes in the states of India and also the correlation between the above said attributes and crimes in 2012 analyzed using exploratory spatial analysis methods. The outcome of the study reveals that the crimes of Indian states’ has positive spatial correlation among the states and also found spatial disparity in crime distribution between local states. The states with higher employment-rate are more affected by the crimes. The clustering is used to identify the patterns with different crime densities, Employment and Police force distribution. Finally, the thematic maps of clusters are used to compare its correlation. The crime clusters can be used for planning various security measures in the states.

Item Type: Article
Uncontrolled Keywords: Data Mining, Autocorrelation, ESDA, Clustering
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 04 Sep 2014 05:39
Last Modified: 04 Sep 2014 05:39

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