Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery

Teaser Image
Author
Conference Paper
Editor
Abstract
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.
French Abstract
Notes
Custom 1
Custom 2
Custom 3
Custom 4
Custom 5
Custom 6
Custom 7
Author Address
Year of Publication
2013
Conference Name
Fourth International Eurovis Workshop on Visual Analytics held in Europe (EuroVA 2013)
Number of Pages
Date Published
06/2013
Publisher
IEEE Computer Society Press
Conference Location
Leipzig, Germany
Citation Key
URL
http://publik.tuwien.ac.at/files/PubDat_218046.pdf
DOI
10.2312/PE.EuroVAST.EuroVA13.031-035
Research Notes
Funding projects