Analyzing Time Interval Data

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Analyzing Time Interval Data
Περιγραφή: 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.
Συγγραφείς: Philipp Meisen
Resource Type: eBook.
Θέματα: Time, System analysis--Data processing, Electronic data processing, Database management, Software engineering, Computer science, Computers, Data structures (Computer science), Electronic digital computers
Categories: COMPUTERS / Networking / General, COMPUTERS / Database Administration & Management, COMPUTERS / Information Theory, COMPUTERS / Software Development & Engineering / General
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 1360366
RelevancyScore: 925
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 924.640747070313
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analyzing Time Interval Data
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Philipp+Meisen%22">Philipp Meisen</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22System+analysis--Data+processing%22">System analysis--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures+%28Computer+science%29%22">Data structures (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+digital+computers%22">Electronic digital computers</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Networking+%2F+General%22">COMPUTERS / Networking / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Database+Administration+%26+Management%22">COMPUTERS / Database Administration & Management</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Theory%22">COMPUTERS / Information Theory</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+General%22">COMPUTERS / Software Development & Engineering / General</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1360366
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.7
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Time
        Type: general
      – SubjectFull: System analysis--Data processing
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Database management
        Type: general
      – SubjectFull: Software engineering
        Type: general
      – SubjectFull: Computer science
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Data structures (Computer science)
        Type: general
      – SubjectFull: Electronic digital computers
        Type: general
    Titles:
      – TitleFull: Analyzing Time Interval Data
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Philipp Meisen
      – PersonEntity:
          Name:
            NameFull: Philipp Meisen
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 30
              M: 09
              Type: profile
              Y: 2016
          Identifiers:
            – Type: isbn-print
              Value: 9783658157272
            – Type: isbn-electronic
              Value: 9783658157289
          Titles:
            – TitleFull: Analyzing Time Interval Data
              Type: main
ResultId 1