Anonymous
Posted Tue Feb 19 00:00:00 EST 2013
I think gathering evry week sounds good. I vote for it ~Rosepelt
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted Tue Feb 19 00:00:00 EST 2013
Its an exellent idea. We need to do this.
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted Tue Feb 19 00:00:00 EST 2013
Okay! I'm going to get several more votes, and if having Gatherings every week wins, we'll vote on which day of the week we want it on!
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted Tue Feb 19 00:00:00 EST 2013
I think its a good idea-rockstar of sunclan
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Hobbes1963
Posted Sat Aug 15 00:00:00 EDT 2009
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.
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted Tue Jul 06 00:00:00 EDT 2010
No text was provided for this review.
More About This Textbook
Overview
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
Editorial Reviews
From the Publisher
"Dr. Colleen McCue pairs an educational background in neuroscience and psychology with extensive experience in the fields of behavioral science, crime analysis and intelligence gathering to create Data Mining and Predictive Analysis , a must-read for all law enforcement professionals. Within the ever-growing fields of criminal justice and crime analysis, Dr. McCue combines all facets of the public safety community, effortlessly examining techniques in which law enforcement, analysts, and researchers are able to delve deeper through her accessible explanations of relative degrees of data quality, validity and reliability; all essential tools in this modern, technological era."- Arthur E. Westveer (Associate Professor, L. Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University)
"[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)
"Dr. McCue's clear and brilliant guide to attacking society's greatest threats reveals how to best combine the powers of statistical computation and the experience of domain experts. Her emphasis on understanding the essential data through fieldwork and close partnership with the end users of the information is vital to making the discovered patterns "actionable". Anyone seeking to harness the power of data mining to "connect the dots" or "find needles in a haystack" will benefit from this lively and reliable book packed with practical techniques proven effective on tough real-world problems."
- Dr. John Elder (Chief Scientist of Elder Research, Inc., www.datamininglab.com)
Product Details
Related Subjects
Meet 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
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