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Interval OLAP: Analyzing Interval Data

  • Christian Koncilia
  • Tadeusz Morzy
  • Robert Wrembel
  • Johann Eder
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8646)

Abstract

The ability to analyze data organized as sequences of events or intervals became important by nowadays applications since such data became ubiquitous. In this paper we propose a formal model and briefly discuss a prototypical implementation for processing interval data in an OLAP style. The fundamental constructs of the formal model include: events, intervals, sequences of intervals, dimensions, dimension hierarchies, a dimension members, and an iCube. The model supports: (1) defining multiple sets of intervals over sequential data, (2) defining measures computed from both, events and intervals, and (3) analyzing the measures in the context set up by dimensions.

Keywords

Query Language Interval Data Interval Sequence Navigation Path Consecutive Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Christian Koncilia
    • 1
  • Tadeusz Morzy
    • 2
  • Robert Wrembel
    • 2
  • Johann Eder
    • 1
  1. 1.Institute of Informatics SystemsKlagenfurt UniversityKlagenfurtAustria
  2. 2.Institute of Computing SciencePoznan University of TechnologyPoznańPoland

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