|Crime Data Mining an Indian Perspective|
|1 Dept. of Computer Science, Maharaja Surajmal Institute (GGSIP University), New Delhi, India.|
|Correspondence should be addressed to: firstname.lastname@example.org.|
Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-8 , Page no. 71-78, Aug-2017
Online published on Aug 30, 2017
Copyright © N. Narwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: N. Narwal, “Crime Data Mining an Indian Perspective”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.8, pp.71-78, 2017.
MLA Style Citation: N. Narwal "Crime Data Mining an Indian Perspective." International Journal of Computer Sciences and Engineering 5.8 (2017): 71-78.
APA Style Citation: N. Narwal, (2017). Crime Data Mining an Indian Perspective. International Journal of Computer Sciences and Engineering, 5(8), 71-78.
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|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.|
|Key-Words / Index Term :|
|Crime Mining, Geographical Information System, Hot Spots|
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