Crime Data Mining an Indian Perspective

Authors

  • N Narwal Dept. of Computer Science, Maharaja Surajmal Institute, GGSIP University, New Delhi, India

DOI:

https://doi.org/10.26438/ijcse/v5i8.7178

Keywords:

Crime Mining, Geographical Information System, Hot Spots

Abstract

Today Information Technology is used in every domain of life. The traditional age-old system of intelligence and criminal record maintenance are no longer used in the current crime scenario. With the availability of spatial data related to crime can be used to integrate it with latest GPS system to highlight the location of crime and such indication can be used by people to be cautious and alert. This latest technology can be used as an aid to warn and guide people about such happening in the crime prone areas. Manual processes neither provide accurate, reliable and comprehensive data round the clock nor does it help in trend prediction and decision support. It also results in lower productivity and ineffective utilization of manpower. The solution to this ever-increasing problem lies in the effective use of Information Technology. This paper suggests methodology that combines the Geographical Information System with crime data to provide crime data mining.

References

D.E. Brown, "The regional crime analysis program (RECAP): A frame work for mining data to catch criminals”, In the Proceedings of 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, pp. 2848-2853, 1998.

T. Abraham and O. de Vel, "Investigative profiling with computer forensic log data and association rules,", In the Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), pp. 11 – 18, 2002.

J.S. De Bruin, T.K. Cocx, W.A. Kosters, J. Laros and J.N. Kok, “Data mining approaches to criminal career analysis” in the Proceedings of the Sixth International Conference on Data Mining (ICDM’06), pp. 171-177, 2006.

S.V. Nath, “Crime pattern detection using data mining,” in the Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 41-44, 2006.

S. Lin, D. E. Brown, “An Outlier-based Data Association Method For Linking Criminal Incidents”, Decision Support System, Vol 41, Issue 3, pp. 604-615, 2006.

J. Han and M. Kamber, “Data Mining: Concepts and Techniques,” Morgan Kaufmann publications,India, pp. 1-39, 2006.

M. Gupta , B. Chandra and M. P. Gupta, “Crime Data Mining for Indian Police Information System”, Computer Society of India, pp. 389-397, 2008.

C.P. Johnson, “Crime Mapping and Analysis Using GIS”, In the Conference of Geomatics in Electronics Governamce, 2000.

G. Yu, S. Shao, B. Luo, “Mining Crime Data by using New Similarity Measure”, IEEE, 2008. In the Proceedings of the 2008, Second International Conference on Genetic and Evolutionary Computing, pp. 389-392, 2008.

K. Leong, S. Chan, V. Ng, S. Shiu, “Introduction of STEM: Space Time Event Model for Crime Pattern Analysis”, Asian Journal of Information Technology,Vol 7 Issue 12, pp.516-523, 2008.

Downloads

Published

2025-11-11
CITATION
DOI: 10.26438/ijcse/v5i8.7178
Published: 2025-11-11

How to Cite

[1]
N. Narwal, “Crime Data Mining an Indian Perspective”, Int. J. Comp. Sci. Eng., vol. 5, no. 8, pp. 71–78, Nov. 2025.

Issue

Section

Research Article