This research provides insight on how climate, government, and other factors affect national crime rates for crimes committed and convictions. The United Nations started collecting data on national crime in 1970. Considering the UN data for the years 1976-1981, 1983, 1985, 1991, and 1993 augmented with data on climate and government from the CIA’s country database, a meaningful data set is created. Using the WEKA data mining tool’s implementations of classification, association, and clustering this collection of factors is used to determine their effect on national and regional crime by type and in total. This analysis determines and compares the factors that specifically affect the violent crimes of homicide, assault, burglary, and rape, as well as, a country’s total crime rate. There are nonviolent crimes as well as convictions in this data set. This study ultimately provides insights on how to classify a country or area in terms of crime.
|Presenter:||Matthew Byrnes (Undergraduate Student)|
|Topic:||Computer Information Systems|
|Time:||11:20 am (Session II)|
Writing @ The Graduate Level
6 pm - 7 pm