Publikation: Poster : Visual Prediction of Time Series
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2009
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2009 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2009, pp. 229-230. ISBN 978-1-4244-5283-5. Available under: doi: 10.1109/VAST.2009.5333420
Zusammenfassung
Many well-known time series prediction methods have been used daily by analysts making decisions. To reach a good prediction, we introduce several new visual analysis techniques of smoothing, multi-scaling, and weighted average with the involvement of human expert knowledge. We combine them into a well-fitted method to perform prediction. We have applied this approach to predict resource consumption in data center for next day planning.
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2009 IEEE Symposium on Visual Analytics Science and Technology, 12. Okt. 2009 - 13. Okt. 2009, Atlantic City, NJ, USA
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HAO, Ming, Halldor JANETZKO, Ratnesh SHARMA, Umeshwar DAYAL, Daniel A. KEIM, Malu CASTELLANOS, 2009. Poster : Visual Prediction of Time Series. 2009 IEEE Symposium on Visual Analytics Science and Technology. Atlantic City, NJ, USA, 12. Okt. 2009 - 13. Okt. 2009. In: 2009 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2009, pp. 229-230. ISBN 978-1-4244-5283-5. Available under: doi: 10.1109/VAST.2009.5333420BibTex
@inproceedings{Hao2009-10Poste-19202,
year={2009},
doi={10.1109/VAST.2009.5333420},
title={Poster : Visual Prediction of Time Series},
isbn={978-1-4244-5283-5},
publisher={IEEE},
booktitle={2009 IEEE Symposium on Visual Analytics Science and Technology},
pages={229--230},
author={Hao, Ming and Janetzko, Halldor and Sharma, Ratnesh and Dayal, Umeshwar and Keim, Daniel A. and Castellanos, Malu}
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