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| DATA MINING AND PREDICTIVE ANALYSIS
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Intelligence Gathering and Crime Analysis
To order this title, and for more information, click here
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.
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
| Bibliographic details |
Paperback, 368 pages, publication date: SEP-2006
ISBN-13: 978-0-7506-7796-7
ISBN-10: 0-7506-7796-1
Imprint: BUTTERWORTH HEINEMANN
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| Price and Ordering |
Price:
EUR 41.95
USD 54.95
GBP 36
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Last update: 30 Nov 2009
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