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: Biometric System and Data Analysis
    sub title: Design, Evaluation, and Data Mining
  name:
    name part: Dunstone, Ted.
    role:
      role term: editor.
  name:
    name part: Yager, Neil.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 268 p. online resource.
  abstract: Biometric System and Data Analysis: Design, Evaluation, and Data Mining brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data. This professional book naturally leads to topics including data mining and prediction, widely applied to other fields but not rigorously to biometrics. This volume places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however are always accompanied by intuitive explanations that convey the essence of the statistical concepts in a general manner. Designed for a professional audience composed of practitioners and researchers in industry, Biometric System and Data Analysis: Design, Evaluation, and Data Mining is also suitable as a reference for advanced-level students in computer science and engineering. .
  table of contents: An Overview of Biometrics -- An Introduction to Biometric Data Analysis -- Biometric Matching Basics -- Biometric Data -- Multimodal Systems -- Performance Testing and Reporting -- Definitions -- The Biometric Performance Hierarchy -- System Evaluation: The Statistical Basis of Biometric Systems -- Individual Evaluation: The Biometric Menagerie -- Group Evaluation: Data Mining for Biometrics -- Special Topics in Biometric Data Analysis -- Proof of Identity -- Covert Surveillance Systems -- Vulnerabilities.
  note: edited by Ted Dunstone, Neil Yager.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer graphics
  subject:
    topic: Biometrics (Biology)
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Probabilities
  subject:
    topic: Computer Science
  subject:
    topic: Biometrics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: QH323.5
  classification: 570.15195
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387776279
  identifier: http://dx.doi.org/10.1007/978-0-387-77627-9
  record info:
    record creation date: 100301
    record change date: 20151204170056.0
    record identifier: 978-0-387-77627-9