An edition of Intelligent Data Mining in Law Enforcement Analytics (2013)

Intelligent Data Mining in Law Enforcement Analytics

New Neural Networks Applied to Real Problems

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Cover of: Intelligent Data Mining in Law Enforcement Analytics by Massimo Buscema, Massimo Buscema
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Last edited by ImportBot
February 26, 2022 | History
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An edition of Intelligent Data Mining in Law Enforcement Analytics (2013)

Intelligent Data Mining in Law Enforcement Analytics

New Neural Networks Applied to Real Problems

by

This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.

Publish Date
Publisher
Springer Netherlands, Imprint: Springer
Language
English
Pages
516

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Previews available in: English

Subjects

Methodology, Methodology of the Social Sciences, Mathematical Models of Cognitive Processes and Neural Networks, Social sciences, Artificial intelligence, Artificial Intelligence (incl. Robotics), Data mining, Social sciences, methodology, Neural networks (computer science)
Edition Availability
Cover of: Intelligent Data Mining in Law Enforcement Analytics
Intelligent Data Mining in Law Enforcement Analytics: New Neural Networks Applied to Real Problems
2013, Springer Netherlands, Imprint: Springer
electronic resource : in English

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Book Details

Table of Contents

<p>Dedication
Preface.- Chapter 1. Introduction to Artificial Networks and Law Enforcement Analytics; William J. Tastle
Chapter 2. Law Enforcement and Artificial Intelligence; Massimo Buscema
Chapter 3. The General Philosophy of Artificial Adaptive Systems; Massimo Buscema
Chapter 4. A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm; M. Buscema, M. Capriotti
Chapter 5. Artificial Adaptive Systems in Data Visualization: Pro-Active data; Massimo Buscema
Chapter 6. The Metropolitan Police Service Central Drug Trafficking Database: Evidence of Need; Geoffrey Monaghan and Stefano Terzi
Chapter 7. Supervised Artificial neural Networks: Back Propagation Neural Networks; Massimo Buscema
Chapter 8. Pre-Processing Tools for Non-Linear Data Sets; Massimo Buscema, Alessandra Mancini and Marco Breda
Chapter 9. Metaclassifiers; Massimo Buscema, Stefano Terzi
^
Chapter 10. Auto Identification of a Drug Seller Utilizing a Specialized Supervised Neural Network; Massimo Buscema and Marco Intraligi
Chapter 11. Visualization and Clustering of Self-Organizing Maps; Giulia Massini
Chapter 12. Self-Organizing Maps: Identifying Non-Linear Relationships in Massive Drug Enforcement Databases; Guila Massini
Chapter 13. Theory of Constraint Satisfaction Neural Networks; Massimo Buscema
Chapter 14. Application of the Constraint Satisfaction Network; Marco Intraligi and Massimo Buscema
Chapter 15. Auto-Contractive Maps, h Function and the Maximally regular Graph: A new methodology for data mining; Massimo Buscema
Chapter 16. Analysis of a Complex Dataset Using the Combined MST and Auto Contractive Map; Giovanni Pieri
Chapter 17. Auto Contractive Mapsand Minimal Spanning tree: Organization of Complex datasets on criminal behavior to aid in the deduction of network connectivity; Giula Massini and Massimo Buscema
^
^^
Chapter 18. Data Mining Using Non-linear Auto Associative Artificial Neural Networks: The Arrestee Dataset; Massimo Buscema
Chapter 19. Artificial Adaptive System for Parallel Querying of Multiple Databases; Massimo Buscema.-</p>.
^^

Edition Notes

Published in
Dordrecht

Classifications

Dewey Decimal Class
300.1
Library of Congress
H61-61.95, HM511-538

The Physical Object

Format
[electronic resource] :
Pagination
XVIII, 516 p. 185 illus.
Number of pages
516

ID Numbers

Open Library
OL27046119M
Internet Archive
intelligentdatam00tast
ISBN 13
9789400749146

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Internet Archive item record
Better World Books record

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February 26, 2022 Edited by ImportBot import existing book
July 1, 2019 Created by MARC Bot import new book