Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

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dc.contributor.authorLammarsch, T.en_US
dc.contributor.authorAigner, W.en_US
dc.contributor.authorBertone, A.en_US
dc.contributor.authorMiksch, S.en_US
dc.contributor.authorRind, A.en_US
dc.contributor.editorM. Pohl and H. Schumannen_US
dc.date.accessioned2014-01-27T16:03:37Z
dc.date.available2014-01-27T16:03:37Z
dc.date.issued2013en_US
dc.description.abstractTemporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. Stateof- the-art methods are capable of preserving the temporal order of events as well as the information in between. The temporal nature of the events themselves, however, can likely be misinterpreted by current algorithms. We present a new definition of the temporal aspects of events and extend related work for pattern finding not only by making use of intervals between events but also by utilizing temporal relations like meets, starts, or during. The result is a new algorithm for Temporal Data Mining that preserves and mines additional time-oriented information.en_US
dc.description.seriesinformationEuroVis Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905674-55-2en_US
dc.identifier.urihttps://doi.org/10.2312/PE.EuroVAST.EuroVA13.031-035en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.2.8 [Information Systems]en_US
dc.subjectDatabase Applicationsen_US
dc.subjectData Miningen_US
dc.titleMind the Time: Unleashing the Temporal Aspects in Pattern Discoveryen_US
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