Data Mining and Predictive Analysis, Second Edition: Intelligence Gathering and Crime Analysis

✍ Scribed by Colleen McCue Ph.D. Experimental Psychology

• Publisher: Butterworth-Heinemann
• Year: 2015
• Tongue: English
• Leaves: 395
• Edition: 2
• Category: Library

✦ Synopsis

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.

• Discusses new and emerging technologies and techniques, including up-to-date information on predictive policing, a key capability in law enforcement and security
• Demonstrates the importance of analytic context beyond software
• Covers new models for effective delivery of advanced analytics to the operational environment, which have increased access to even the most powerful capabilities
• Includes terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis

✦ Table of Contents

Content:
Front matter, Page iii
Copyright, Page iv
Dedication, Page v
Foreword, Pages xi-xii
Preface, Pages xiii-xix
Digital Assets, Page xxi
Introduction, Pages xxiii-xxvii
Chapter 1 - Basics, Pages 3-23
Chapter 2 - Domain Expertise, Pages 25-30
Chapter 3 - Data Mining and Predictive Analytics, Pages 31-48
Chapter 4 - Process Models for Data Mining and Predictive Analysis, Pages 51-74
Chapter 5 - Data, Pages 75-106
Chapter 6 - Operationally Relevant Preprocessing, Pages 107-135
Chapter 7 - Identification, Characterization, and Modeling, Pages 137-155
Chapter 8 - Public-Safety-Specific Evaluation, Pages 157-183
Chapter 9 - Operationally Actionable Output, Pages 185-208
Chapter 10 - Normal Crime, Pages 211-222
Chapter 11 - Behavioral Analysis of Violent Crime, Pages 223-256
Chapter 12 - Risk and Threat Assessment, Pages 257-282
Chapter 13 - Deployment, Pages 285-312
Chapter 14 - Surveillance Detection, Pages 313-345
Chapter 15 - Advanced Topics, Pages 349-365
Chapter 16 - Future Trends, Pages 367-384
Index, Pages 385-393