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: Advances in Probabilistic Databases for Uncertain Information Management
  name:
    name part: Ma, Zongmin.
    role:
      role term: editor.
  name:
    name part: Yan, Li.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 161 p. online resource.
  abstract: This book covers a fast-growing topic in great depth and focuses on the technologies and applications of probabilistic data management. It aims to provide a single account of current studies in probabilistic data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of information technology of intelligent information processing, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.
  table of contents: 1 Research in Probabilistic Spatiotemporal Databases: The SPOT Framework -- 2 A Probabilistic Object-Oriented Database Model with Fuzzy Measures -- 3 Probabilistic XML: Models and Complexity -- 4 Uncertain Data: Representations, Query Processing, and Applications -- 5 A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams -- 6 Tractable Probabilistic Description Logic Programs. .
  note: edited by Zongmin Ma, Li Yan.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 304
  identifier: 9783642375095
  identifier: http://dx.doi.org/10.1007/978-3-642-37509-5
  record info:
    record creation date: 130331
    record change date: 20151029231227.0
    record identifier: 978-3-642-37509-5