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 and Intelligent Decision Making Support
  name:
    name part: Kaklauskas, Arturas.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 220 p. 47 illus., 8 illus. in color. online resource.
  abstract: This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.
  table of contents: Introduction to Intelligent Decision Support Systems.- Intelligent Decision Support Systems -- Passive House Model for Quantitative and Qualitative Analyses and its Intelligent System -- Biometric and Intelligent Self-Assessment of Student Progress System -- Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity -- Student Progress Assessment with the Help of an Intelligent Pupil Analysis System -- Recommender System to Analyze Student’s Academic Performance.
  note: by Arturas Kaklauskas.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems Reference Library, 81
  identifier: 9783319136592
  identifier: http://dx.doi.org/10.1007/978-3-319-13659-2
  record info:
    record creation date: 141226
    record change date: 20151103131525.0
    record identifier: 978-3-319-13659-2