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TIDAMODEL: Modeling Time Interval Data

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Abstract

This chapter presents the answer to RQ2 “Which aspects must be covered by a time interval data analysis model and how can it be defined”. This is achieved by defining a model based on the terms time interval, time interval record, time interval dataset, descriptive value, descriptor, time axis, dimensions, descriptor hierarchy, and time hierarchy.

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Correspondence to Philipp Meisen .

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© 2016 Springer Fachmedien Wiesbaden GmbH

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Meisen, P. (2016). TIDAMODEL: Modeling Time Interval Data. In: Analyzing Time Interval Data . Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-15728-9_4

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  • DOI: https://doi.org/10.1007/978-3-658-15728-9_4

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  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-15727-2

  • Online ISBN: 978-3-658-15728-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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