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Visual analysis of frequent patterns in large time series

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2010

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Hao, Ming C.
Marwah, Manish
Dayal, Umeshwar
Sharma, Rohit
Patnaik, Devdutt
Ramakrishnan, Naren

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https://doi.org/10.1109/VAST.2010.5650766
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2010 IEEE Symposium on Visual Analytics Science and Technology. Piscataway, NJ: IEEE, 2010, pp. 227-228. ISBN 978-1-4244-9488-0. Available under: doi: 10.1109/VAST.2010.5650766

Zusammenfassung

The detection of previously unknown, frequently occurring patterns in time series, often called motifs, has been recognized as an important task. To find these motifs, we use an advanced temporal data mining algorithm. Since our algorithm usually finds hundreds of motifs, we need to analyze and access the discovered motifs. For this purpose, we introduce three novel visual analytics methods: (1) motif layout, using colored rectangles for visualizing the occurrences and hierarchical relationships of motifs in a multivariate time series, (2) motif distortion, for enlarging or shrinking motifs as appropriate for easy analysis and (3) motif merging, to combine a number of identical adjacent motif instances without cluttering the display. We have applied and evaluated our methods using two real-world data sets: data center cooling and oil well production.

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004 Informatik

Schlagwörter

Time series analysis, Petroleum, Visual analytics, Production, Merging, Layout, Data mining

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2010 IEEE Symposium on Visual Analytics Science and Technology (VAST), 25. Okt. 2010 - 26. Okt. 2010, Salt Lake City, UT, USA
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ISO 690HAO, Ming C., Manish MARWAH, Halldor JANETZKO, Daniel A. KEIM, Umeshwar DAYAL, Rohit SHARMA, Devdutt PATNAIK, Naren RAMAKRISHNAN, 2010. Visual analysis of frequent patterns in large time series. 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST). Salt Lake City, UT, USA, 25. Okt. 2010 - 26. Okt. 2010. In: 2010 IEEE Symposium on Visual Analytics Science and Technology. Piscataway, NJ: IEEE, 2010, pp. 227-228. ISBN 978-1-4244-9488-0. Available under: doi: 10.1109/VAST.2010.5650766
BibTex
@inproceedings{Hao2010-10Visua-40488,
  year={2010},
  doi={10.1109/VAST.2010.5650766},
  title={Visual analysis of frequent patterns in large time series},
  isbn={978-1-4244-9488-0},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2010 IEEE Symposium on Visual Analytics Science and Technology},
  pages={227--228},
  author={Hao, Ming C. and Marwah, Manish and Janetzko, Halldor and Keim, Daniel A. and Dayal, Umeshwar and Sharma, Rohit and Patnaik, Devdutt and Ramakrishnan, Naren}
}
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