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: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
  name:
    name part: Aydin, Berkay.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Angryk, Rafal. A.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 106 p. 33 illus., 32 illus. in color. online resource.
  abstract: This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories. This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.
  note: by Berkay Aydin, Rafal. A Angryk.
  subject:
    topic: Computers
  subject:
    topic: Geographical information systems
  subject:
    topic: Regional economics
  subject:
    topic: Spatial economics
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Regional/Spatial Science
  classification: QA75.5-76.95
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9783319998732
  identifier: https://doi.org/10.1007/978-3-319-99873-2
  record info:
    record creation date: 181015
    record change date: 20191025032501.0
    record identifier: 978-3-319-99873-2