An Intelligent Analysis of Crime Data using Data Mining Algorithms

Main Article Content

Shakeel Saeed
Muhammad Majid Mahmood Bagram
Muhammad Munwar Iqbal

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

Article Details

Section
COMPUTER SCIENCE
Author Biographies

Muhammad Majid Mahmood Bagram, Department of Business Administration, Allama Iqbal Open University, Islamabad, Pakistan

Dr. Muhammad Majid Mahmood Bagram has 28+ years of diversified experience with prestigious national and international organizations particularly in the area of soft skills. PhD in the discipline of Management Sciences; qualified one-year Training of Trainers Program organized jointly by the Lahore University of Management Sciences, Pakistan and McGill University, Canada; Live Morning Shows; YouTube Channel “Happiness”; and also served as Member Academic Board of the Commonwealth of Learning, Canada. He has participated in number of national and international conferences & seminars in Pakistan, India, China and United States of America. At present, he is serving as Associate Professor, Department of Business Administration, Allama Iqbal Open University, Islamabad, Pakistan.  

Muhammad Munwar Iqbal, Department of Computer Science, University of Engineering and Technology Taxila

Assistant Professor, Department of Computer Science, University of Engineering and Technology Taxila