Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

Lammarsch, T.; Aigner, W.; Bertone, A.; Miksch, S.; Rind, A.

Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

Files

031-035.pdf (268.34 KB)

Date

2013

Authors

Lammarsch, T.
Aigner, W.
Bertone, A.
Miksch, S.
Rind, A.

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.

        @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
}
}