Pub. Date:
Elsevier Science
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis / Edition 1

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis / Edition 1

by Colleen McCue


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Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis / Edition 1

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.

• Serves as a valuable reference tool for both the student and the law enforcement professional
• Contains practical information used in real-life law enforcement situations
• Approach is very user-friendly, conveying sophisticated analyses in practical terms

Product Details

ISBN-13: 2900750677966
Publisher: Elsevier Science
Publication date: 09/15/2006
Edition description: New Edition
Pages: 368
Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

About the Author

Dr. Colleen McCue is the Senior Director of Social Science and Quantitative Methods at DigitalGlobe. Her areas of expertise within , in the applied public safety and national security environment include the application of data mining and predictive analytics to the analysis of crime and intelligence data, with particular emphasis on deployment strategies; surveillance detection; threat and vulnerability assessment; geospatial predictive analytics; computational modeling and visualization of human behavior; Human, Social, Culture and Behavior (HSCB) modeling and analysis; crisis and conflict mapping; and the behavioral analysis of violent crime in support of anticipation and influence.

Table of Contents

Introductory Section
Chapter 1: Basics
Chapter 2: Domain Expertise
Chapter 3: Data mining

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

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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Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis 3.8 out of 5 based on 0 ratings. 4 reviews.
Anonymous More than 1 year ago
I think gathering evry week sounds good. I vote for it ~Rosepelt
Anonymous More than 1 year ago
Its an exellent idea. We need to do this.
Anonymous More than 1 year ago
Hobbes1963 More than 1 year ago
As a 20+ year LEO looking to reinvent a new career as an analyst for the next 20 years, I found the information in this book to be quite interesting. Dr. McCue offers plenty of real world applications for the material. While the book does not go into any great depth on actual procedures, it does provide excellent ideas and suggestions for how one can approach problems and apply modeling to help understand and solve the problem. Overall, I think this book would be an excellent addition to any analysts bookcase.