An Intelligent Analysis of Crime Data using Data Mining Algorithms

Abstract

Crime is expanding all around the world through many ways and violent crimes have become a national dilemma. Family members try to ignore and neighbours do not want to get involved. The victim in such case is usually helpless to understand and to determine the solution of the problem. Also, law enforcement agencies handle each case when someone got affected or when a criminal act has taken place. Data mining acts an important role in prediction and analysis of data. So, in this research data mining tool Weka has been used. For the crime analysis in various states of the United States, several classification algorithms have been applied to the crime data of the FBI in relation to the population of states. The outcome from the analysis shows that crime rate is high in populated states and also Rate of property crime and rate of larceny-theft is high amongst all other type of crime rate in populated states of the USA.
 
Keywords: Data Mining, Classification, Violent Crime, Murder, Property Crime