Intelligent Data Mining in Law Enforcement Analytics

New Neural Networks Applied to Real Problems

  • Massimo Buscema
  • William J. Tastle

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Paolo Massimo Buscema
    Pages 11-16
  3. Paolo Massimo Buscema
    Pages 17-30
  4. Massimo Buscema, Massimiliano Capriotti
    Pages 31-49
  5. Massimo Buscema, Alessandra Mancini, Marco Breda
    Pages 137-155
  6. Massimo Buscema, Stefano Terzi
    Pages 157-165
  7. Marco Intraligi, Massimo Buscema
    Pages 231-313
  8. Back Matter
    Pages 513-516

About this book


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.


Artificial Adaptive Systems Intelligent Data Mining Law enforcement Neural and artificial evolution analysis of drug arrest in London central drug trafficking database constraints satisfaction network data intelligence and crime datasets about drugs trafficking in London philosophy of the artificial adaptive systems supervised artificial neural network supervised networks applications the evolutionary algorithms and the GenD Algorithm using artificial adaptive systems in drug trafficking

Editors and affiliations

  • Massimo Buscema
    • 1
  • William J. Tastle
    • 2
  1. 1.Semeion Research Center of Sciences of CRomeItaly
  2. 2.Ithaca CollegeIthacaUSA

Bibliographic information

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