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
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis
✍ Scribed by Colleen McCue
- Publisher
- Butterworth-Heinemann
- Year
- 2015
- Tongue
- English
- Leaves
- 395
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
✦ 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.
✦ Subjects
Databases & Big Data;Access;Data Mining;Data Modeling & Design;Data Processing;Data Warehousing;MySQL;Oracle;Other Databases;Relational Databases;SQL;Computers & Technology;Forensic Science;Criminal Law;Law;Law Enforcement;Criminal Law;Law;Probability & Statistics;Applied;Mathematics;Science & Math;Statistics;Applied;Mathematics;Science & Math;Criminology;Social Sciences;Politics & Social Sciences;Law Enforcement;Specific Topics;Politics & Government;Politics & Social Sciences;Database Storage &
📜 SIMILAR VOLUMES
Content: <br>Foreword</span></a></h3>, <i>Pages xiii-xiv</i><br>Preface</span></a></h3>, <i>Pages xv-xxiii</i><br>Introduction</span></a></h3>, <i>Pages xxv-xxxi</i><br>1 - Basics</span></a></h3>, <i>Pages 3-18</i><br>2 - Domain Expertise</span></a></h3>, <i>Pages 19-24</i><br>3 - Data Mining</span>
<p><i>Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis</i>, 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 pr
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
<p>In recent years, the fields of crime analysis and environmental criminology have grown in prominence for their advancements made in understanding crime. This book offers a theoretical and methodological introduction to crime analysis, covering the main techniques used in the analysis of crime and