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: Spatio-Temporal Data Streams
  name:
    name part: Galić, Zdravko.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 107 p. 28 illus. online resource.
  abstract: This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
  table of contents: Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.
  note: by Zdravko Galić.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Database management
  subject:
    topic: Geographical information systems
  subject:
    topic: Graph theory
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Graph Theory
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9781493965755
  identifier: http://dx.doi.org/10.1007/978-1-4939-6575-5
  record info:
    record creation date: 160826
    record change date: 20160826142123.0
    record identifier: 978-1-4939-6575-5