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: Analyzing Time Interval Data
    sub title: Introducing an Information System for Time Interval Data Analysis
  name:
    name part: Meisen, Philipp.
    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: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXI, 232 p. 65 illus., 8 illus. in color. online resource.
  abstract: Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data. Contents Modeling Time Interval Data Querying for Time Interval Data Similarity of Time Interval Data An Information System for Time Interval Data Analysis Target Groups Researchers and students in the field of information management Business analysts and dispatchers in the fields of online analytical processing (OLAP), data warehousing (DW), business intelligence (BI), workforce management, and data science The Author Philipp Meisen holds a doctoral degree from RWTH Aachen, where he was a research group leader at the Chair of Information Management in Mechanical Engineering.
  table of contents: Modeling Time Interval Data -- Querying for Time Interval Data -- Similarity of Time Interval Data -- An Information System for Time Interval Data Analysis.
  note: by Philipp Meisen.
  subject:
    topic: Computer science
  subject:
    topic: Software engineering
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Computers
  subject:
    topic: Computer Science
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Software Engineering/Programming and Operating Systems
  classification: QA75.5-76.95
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783658157289
  identifier: http://dx.doi.org/10.1007/978-3-658-15728-9
  record info:
    record creation date: 160913
    record change date: 20160913110619.0
    record identifier: 978-3-658-15728-9