Publikation: Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval
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2012
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HOLLMÉN, Jaakko, ed., Frank KLAWONN, ed., Allan TUCKER, ed.. Advances in Intelligent Data Analysis XI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 264-275. Lecture Notes in Computer Science. 7619. ISBN 978-3-642-34155-7. Available under: doi: 10.1007/978-3-642-34156-4_25
Zusammenfassung
We propose a two-phased approach to learn pattern graphs, a powerful pattern language for complex, multivariate temporal data, which is capable of reflecting more aspects of temporal patterns than earlier proposals. The first phase aims at increasing the understandability of the graph by finding common substructures, thereby helping the second phase to specialize the graph learned so far to discriminate against undesired situations. The usefulness is shown on data from the automobile industry and the libras data set by taking the accuracy and the knowledge gain of the learned graphs into account.
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PETER, Sebastian, Frank HÖPPNER, Michael R. BERTHOLD, 2012. Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. In: HOLLMÉN, Jaakko, ed., Frank KLAWONN, ed., Allan TUCKER, ed.. Advances in Intelligent Data Analysis XI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 264-275. Lecture Notes in Computer Science. 7619. ISBN 978-3-642-34155-7. Available under: doi: 10.1007/978-3-642-34156-4_25BibTex
@inproceedings{Peter2012Learn-23714,
year={2012},
doi={10.1007/978-3-642-34156-4_25},
title={Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval},
number={7619},
isbn={978-3-642-34155-7},
publisher={Springer Berlin Heidelberg},
address={Berlin, Heidelberg},
series={Lecture Notes in Computer Science},
booktitle={Advances in Intelligent Data Analysis XI},
pages={264--275},
editor={Hollmén, Jaakko and Klawonn, Frank and Tucker, Allan},
author={Peter, Sebastian and Höppner, Frank and Berthold, Michael R.}
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