Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Temporal 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.
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@inproceedings{
:10.2312/PE.EuroVAST.EuroVA13.031-035
, booktitle = {
EuroVis Workshop on Visual Analytics
}, editor = {
M. Pohl and H. Schumann
}, title = {{
Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery
}}, author = {
Lammarsch, T.
and
Aigner, W.
and
Bertone, A.
and
Miksch, S.
and
Rind, A.
}, year = {
2013
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905674-55-2
}, DOI = {
/10.2312/PE.EuroVAST.EuroVA13.031-035
} }
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