Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis

By
Colleen McCue, Ph.D., Experimental Psychology, Program Manager, Richmond Police Department, Richmond, VA, USA

Description
It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real–world examples showing how data mining has identified crime trends, anticipated community hot–spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk–based deployment strategies," that allow them to make informed and cost–efficient staffing decisions based on the likelihood of specific criminal activity. Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities.

Audience:
Government agencies and institutions, law enforcement agencies (crime analysts and criminal investigators). Managers and command staff making data mining purchasing decisions, data mining and artificial intelligence developers, private security consultants, legislators, and policy makers.



About the Author:

Colleen McCue received a Ph.D. in experimental psychology in 1989. The program of study included significant instruction in advanced and multivariate statistical analysis. Currently, she is the Program Manager of the Richmond, Virginia Police Department. She maintains an active research program and began exploring the use of computer modeling in the analysis of violent crime approximately six years ago. She recently published a white paper outlining work with data mining and predictive analytics in crime and intelligence analysis, and has a manuscript in press in the same area with the FBI‘s Law Enforcement Bulletin. She has written for and lectured to law enforcement audiences regularly at the state, local and federal level. As a direct result of this experience she can bring a unique understanding of the existing skill set and the approach necessary to convey information to this demographic.