2014

paper

english

EN 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.

233 - 244

10.1007/978-3-319-10160-6_21

https://link.springer.com/chapter/10.1007/978-3-319-10160-6_21

Data Warehousing and Knowledge Discovery : 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014 : proceedings

16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014, 2-4.09.2014, Munich, Germany