FEATURE SELECTION MODEL FOR CRIME PREDICTION BASED ON ROUGH-SPANNING TREES
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.9, No. 4)Publication Date: 2018-04-30
Authors : Navin Garg;
Page : 1748-1759
Keywords : Feature Selection Model; Crime Prediction; Rough-Spanning Trees;
Abstract
All branches of sociology and psychology agree that criminal behavior is a nuisance to society and that it should be punished when it occurs. Crime has been an integral part of human society since humans first began to organize themselves into communities. The global crime rate has been rising steadily in recent years. Most crimes are reported to the police the same day or the day after they occur, and several crime reports are submitted by various sources. The police have found these reports to be useful in their inquiry. However, because of the abundance of reports, it is now a time-consuming and laborious effort to parse out the specifics of the potentially relevant information included on those reports, which hampers in-depth investigations of crimes. The ever-evolving criminal underworld also presents new difficulties for law enforcement when investigating crimes. Furthermore, crime prevention measures are out of date, and law enforcement officials often are unable to apprehend criminals
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