Segmenting Time Series for Weather Forecasting
Published 1 January 2003
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Yu
Citations33
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TL;DR
This work examines how segmentation should be modified to make it suitable for generating textual summaries of time series data, and has been implemented in a weather forecast generation system.
Abstract
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.
Keywords
Computer Science
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