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Data Mining and Predictive Analysis


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Table of Contents

Introductory Section Chapter 1: Basics Chapter 2: Domain Expertise Chapter 3: Data mining Methods Chapter 4: Process Models for Data Mining and Analysis Chapter 5: Data Chapter 6: Operationally-relevant preprocessing Chapter 7: Identification, Characterization and Modeling Chapter 8: Evaluation Chapter 9: Operationally-Actionable Output Applications Chapter 10: "Normal" Crime Chapter 11: Behavioral Analysis of Violent Crime Chapter 12: Risk and Threat Assessment Case Examples Chapter 13: Deployment Chapter 14: Surveillance Detection Advanced Concepts and Future Trends Chapter 15: Advanced Concepts in Data Mining Chapter 16: Future Trends

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Cuts through the technical language of other books to provide an ideal primer for those looking to use data mining in crime and intelligence analysis

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.


"[Data Mining and Predictive Analysis] is a must-read..., blending analytical horsepower with real-life operational examples. Operators owe it to themselves to dig in and make tactical decisions more efficiently, and learn the language that sells good tactics to leadership. Analysts, intell support, and leaders owe it to themselves to learn a new way to attack the problem in support of law enforcement, security, and intelligence operations. Not just a dilettante academic, Dr. McCue is passionate about getting the best tactical solution in the most efficient way-and she uses data mining to do it. Understandable yet detailed, [Data Mining and Predictive Analysis] puts forth a solid argument for integrating predictive analytics into action. Not just for analysts!" - Tim King (Director, Special Programs and Global Business Development, ArmorGroup International Training)

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