rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Handbook of Computational Approaches to Counterterrorism
  name:
    name part: Subrahmanian, V.S.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 578 p. online resource.
  abstract: Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book’s website. This book targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful.
  table of contents: Data and Data Acquisition -- Behavioral Models and Forecasting -- Terrorist Network Analysis -- Systems, Frameworks, and Case Studies -- New Directions.
  note: edited by V.S. Subrahmanian.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical statistics
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Application software
  subject:
    topic: Criminology
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Criminology & Criminal Justice
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461453116
  identifier: http://dx.doi.org/10.1007/978-1-4614-5311-6
  record info:
    record creation date: 121211
    record change date: 20151204175142.0
    record identifier: 978-1-4614-5311-6