Poster : Visual Prediction of Time Series

Hao, Ming; Janetzko, Halldor; Sharma, Ratnesh; Dayal, Umeshwar; Keim, Daniel A.; Castellanos, Malu

Poster : Visual Prediction of Time Series

Dateien

Hao_Visual prediction.pdfGröße: 664.9 KBDownloads: 652

Datum

2009

Autor:innen

Hao, Ming

Janetzko, Halldor

Sharma, Ratnesh

Dayal, Umeshwar

Keim, Daniel A.

Castellanos, Malu

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen 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.2009.5333420

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.

Fachgebiet (DDC)

004 Informatik

Konferenz

2009 IEEE Symposium on Visual Analytics Science and Technology, 12. Okt. 2009 - 13. Okt. 2009, Atlantic City, NJ, USA

Zitieren

ISO 690

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.2009.5333420

BibTex

@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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Universitätsbibliographie

Ja