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2003 | OriginalPaper | Buchkapitel

Segmenting Time Series for Weather Forecasting

verfasst von : Somayajulu G. Sripada, Ehud Reiter, Jim Hunter, Jin Yu

Erschienen in: Applications and Innovations in Intelligent Systems X

Verlag: Springer London

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We are investigating techniques for producing textual summaries of time series data. Deep reasoning techniques have proven impractical because we lack perfect knowledge about users and their tasks. Data analysis techniques such as segmentation are more attractive, but they have been developed for data mining, not for communication. We examine how segmentation should be modified to make it suitable for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system.

Metadaten
Titel
Segmenting Time Series for Weather Forecasting
verfasst von
Somayajulu G. Sripada
Ehud Reiter
Jim Hunter
Jin Yu
Copyright-Jahr
2003
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-0649-4_14

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