Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

TitleMind the Time: Unleashing the Temporal Aspects in Pattern Discovery
Publication TypeConference Paper
Year of Publication2013
AuthorsLammarsch, T., W. Aigner, A. Bertone, S. Miksch, and A. Rind
EditorsPohl, M., and H. Schuman
Conference NameFourth International Eurovis Workshop on Visual Analytics held in Europe (EuroVA 2013)
PublisherIEEE Computer Society Press
Conference LocationLeipzig, Germany

Temporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. State-of-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.


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