Data Mining and Predictive Analysis

1st Edition

Intelligence Gathering and Crime Analysis

Authors: Colleen McCue Colleen McCue
Paperback ISBN: 9780750677967
eBook ISBN: 9780080464626
Imprint: Butterworth-Heinemann
Published Date: 15th September 2006
Page Count: 368
38.99 + applicable tax
48.95 + applicable tax
59.95 + applicable tax
63.95 + applicable tax
Unavailable
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


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.

Key Features

  • 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

Readership

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.

Table of Contents

  • Dedication
  • Foreword
  • Preface
  • Introduction
  • Introductory Section
  • Chapter 1: Basics
    • 1.1 Basic Statistics
    • 1.2 Inferential versus Descriptive Statistics and Data Mining
    • 1.3 Population versus Samples
    • 1.4 Modeling
    • 1.5 Errors
    • 1.6 Overfitting the Model
    • 1.7 Generalizability versus Accuracy
    • 1.8 Input/Output

  • Chapter 2: Domain Expertise
    • 2.1 Domain Expertise
    • 2.2 Domain Expertise for Analysts
    • 2.3 Compromise
    • 2.4 Analyze Your Own Data

  • Chapter 3: Data Mining
    • 3.1 Discovery and Prediction
    • 3.2 Confirmation and Discovery
    • 3.3 Surprise
    • 3.4 Characterization
    • 3.5 “Volume Challenge”6
    • 3.6 Exploratory Graphics and Data Exploration
    • 3.7 Link Analysis12
    • 3.8 Nonobvious Relationship Analysis (NORA)13
    • 3.9 Text Mining
    • 3.10 Future Trends
    • Methods

  • Chapter 4: Process Models for Data Mining and Analysis
    • 4.1 CIA Intelligence Process
    • 4.2 CRISP-DM
    • 4.3 Actionable Mining and Predictive Analysis for Public Safety and Security

  • Chapter 5: Data
    • 5.1 Getting Started
    • 5.2 Types of Data
    • 5.3 Data2
    • 5.4 Types of Data Resources
    • 5.5 Data Challenges
    • 5.6 How Do We Overcome These Potential Barriers?
    • 5.7 Duplication
    • 5.8 Merging Data Resources
    • 5.9 Public Health Data
    • 5.10 Weather and Crime Data

  • Chapter 6: Operationally Relevant Preprocessing
    • 6.1 Operationally Relevant Recoding
    • 6.2 Trinity Sight
    • 6.3 Duplication
    • 6.4 Data Imputation
    • 6.5 Telephone Data
    • 6.6 Conference Call Example
    • 6.7 Internet Data
    • 6.8 Operationally Releva

Details

No. of pages:
368
Language:
English
Copyright:
© Butterworth-Heinemann 2007
Published:
Imprint:
Butterworth-Heinemann
eBook ISBN:
9780080464626
Paperback ISBN:
9780750677967

About the Author

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.

Affiliations and Expertise

Program Manager, Richmond Police Department, Richmond, VA, USA

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.

Affiliations and Expertise

Program Manager, Richmond Police Department, Richmond, VA, USA

Reviews

"[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)