Publication Type : Journal Article
Publisher : Journal of Advanced Research in Dynamical and Control Systems
Source : Journal of Advanced Research in Dynamical and Control Systems, Institute of Advanced Scientific Research, Volume 10, Issue 5, p.1886-1891 (2018)
Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85053452522&origin=resultslist
Keywords : association rule, Crime trends, Suspect predictions
Campus : Mysuru
School : School of Arts and Sciences
Department : Computer Science
Year : 2018
Abstract : Over the past several decades, data mining techniques which used to solve crime detection and prevention stored in many sources to find crime pattern trends and suspect predictions. Day by day range of crimes is increasing speedily, to cut back it we tend to build use of Association Rule techniques that helps crimes to decrease constantly. The Government plays an important role where it needs to take quick actions and decide the matter amicably. To overcome the crimes, there is no proper tool for analysis. This paper provides the perception about crime trends and suspect prediction. In order to predict suspects, depending on the type of crimes, there are many kinds of constraints. For example consider �chain snatching�, we take into account the constraints like location, time, criminal height, appearance, type of vehicle, weapon used, color etc. Thus, the paper provides insight about the techniques used for crime trends and suspect prediction for crime trends and suspect prediction.
Cite this Research Publication : R. V. and Sneha Deborah V., “An improved optimized association rule technique for crime pattern detection and suspect prediction”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, no. 5, pp. 1886-1891, 2018.