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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Interval OLAP: Analyzing Interval Data
verfasst von : Christian Koncilia, Tadeusz Morzy, Robert Wrembel, Johann Eder
Erschienen in: Data Warehousing and Knowledge Discovery
Verlag: Springer International Publishing
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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.