DATA MINING AND EXPERT SYSTEMS IN LAW ENFORCEMENT AGENCIES
Monica C. Holmes, Diane D. Comstock-Davidson, Roger Hayen · Issues in Information Systems · 2007
Criminal databases and artificial intelligence have proven to be effective in solving crime on a local basis.However, what is needed is an expert system that links law enforcement agencies nationwide.Evidence and clues relating to crime are located across numerous data bases and have no connection to each other.This research examines five different Law Enforcement Information Systems (LEIS) to determine current features and characteristics of these systems.Some systems have a narrow or local scope of use, whereas others are more widely used.Some utilized expert systems that implement artificial intelligence techniques while others have a data mining orientation.Traffic violations are identified as an important component for any LEIS, because routine traffic stops often lead to apprehension for more violent crimes.However, traffic violations appear in only the local LEIS reviewed in this study.Clearly, tools, techniques, and data can be shared in the development future LEIS.