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  • Online Resource  (2)
  • Boston, MA : Springer-Verlag US  (1)
  • Dordrecht : Springer  (1)
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  • Law  (2)
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  • 1
    ISBN: 9789400749146
    Language: English
    Pages: Online-Ressource (XVIII, 516 p. 185 illus, digital)
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T.
    RVK:
    Keywords: Social sciences ; Artificial intelligence ; Social sciences Methodology ; Social Sciences ; Social sciences ; Artificial intelligence ; Social sciences Methodology
    Abstract: 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.
    Description / Table of Contents: 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.-.
    Note: Includes bibliographical references and index
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Boston, MA : Springer-Verlag US
    ISBN: 9780387341118
    Language: English
    Pages: Online-Ressource (XVIII, 701 p, digital)
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T.
    RVK:
    Keywords: Social sciences ; Criminology ; Social Sciences ; Criminology ; Social sciences
    Abstract: Insider trading. Savings and loan scandals. Enron. Corporate crimes were once thought of as victimless offenses, but now with billions of dollars and an increasingly global economy at stake this is understood to be far from the truth. The International Handbook of White-Collar and Corporate Crime explores the complex interplay of factors involved when corporate cultures normalize lawbreaking, and when organizational behavior is pushed to unethical (and sometimes inhumane) limits. Featuring original contributions from a panel of experts representing North America, Asia, Europe, and Australia, this timely volume presents multidisciplinary views on recent corporate wrongdoing affecting economic and social conditions worldwide. Criminal liability and intent Stock market and financial crime Bribery and extortion Computer and identity fraud Health care fraud Crime in the professions Industrial pollution Political corruption War crimes and genocide Contributors offer case studies, historical and sociopolitical analyses, theoretical and legal perspectives, and comparative studies, featuring examples as varied as NASA, Parmalat, the Italian government, and Watergate. Criminal justice responses to these phenomena, the role of the media in exposing or minimizing them, prevention, regulation, and self- policing strategies, and larger global issues emerging from economic crime are also featured. Richly diverse in its coverage, The International Handbook of White-Collar and Corporate Crime is stimulating reading for students, academics, and professionals in a wide range of fields, from criminology and criminal justice to business and economics, psychology to social policy to ethics. This powerful information is certain to change many of our deeply held views on criminal behavior.
    Note: Includes bibliographical references and index
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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