Bonfring International Journal of Software Engineering and Soft Computing
Online ISSN: 2277-5099 | Print ISSN: 2250-1045 | Frequency: 4 Issues/Year
Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
Location Based Crime Detection Using Data Mining
Abstract:
A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analyzing and predicting crime and help us to prevent the crime to some extent. Goal is to detect crime in a particular location using data mining techniques applied on mobile devices that were found during the occurrence of crime. Here we consider that each individual can be tracked by locating their mobile numbers and its digital traces. This approach finds usage not only in fighting against crime, but also effectively replace the current conventional methods, which in turn will save lots of time and money of the Government and other intelligent agencies. There had been an enormous increase in the crime in the recent years. [2]The concern about national security has increased significantly since the 26/11 attacks at Mumbai, India. However, information and technology overload hinders the effective analysis of criminal and terrorist activities.
Keywords: Crime Detection, Location Based Systems, Data Mining, Digital traces, Database, K Mean.
Volume: 6 | Issue: Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi
Pages: 208-212
Issue Date: October , 2016
DOI: 10.9756/BIJSESC.8279
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