Data Mining and Predictive Analysis

Data Mining and Predictive Analysis : Intelligence Gathering and Crime Analysis

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Description

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment.
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Product details

  • Paperback | 422 pages
  • 186 x 234 x 8mm | 659.99g
  • Butterworth-Heinemann Inc
  • Woburn, United States
  • English
  • 2nd edition
  • Approx. 100 illustrations; Illustrations, unspecified
  • 0128002298
  • 9780128002292
  • 436,969

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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Review quote

"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)
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About Colleen Mccue

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.
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Rating details

24 ratings
3.41 out of 5 stars
5 4% (1)
4 38% (9)
3 54% (13)
2 4% (1)
1 0% (0)
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