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. © 2014 Springer International Publishing.
CITATION STYLE
Koncilia, C., Morzy, T., Wrembel, R., & Eder, J. (2014). Interval OLAP: Analyzing interval data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8646 LNCS, pp. 233–244). Springer Verlag. https://doi.org/10.1007/978-3-319-10160-6_21
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