Reference : Pattern extraction for time-series classification
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/25743
Pattern extraction for time-series classification
English
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
2001
Proceedings of PKDD 2001, 5th European Conference on Principles of Data Mining and Knowledge Discovery
Springer-Verlag
LNAI 2168
115-127
Yes
No
International
Freiburg
5th European Conference on Principles of Data Mining and Knowledge Discovery
2001
Freiburg
Germany
[en] In this paper, we propose some new tools to allow machine learning classifiers to cope with time series data. We first argue that many time-series classification problems can be solved by detecting and combining local properties or patterns in time series. Then, a technique is proposed to find patterns which are useful for classification. These patterns are combined to build interpretable classification rules. Experiments, carried out on several artificial and real problems, highlight the interest of the approach both in terms of interpretability and accuracy of the induced classifiers.
http://hdl.handle.net/2268/25743
http://www.montefiore.ulg.ac.be/services/stochastic/pubs/2001/Geu01a

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