A New Architecture for Summarising Time Series Data
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This paper presents a new architecture for summarising complex time series data, in which four main components together with a knowledge base and a database are integrated. Based on the architecture, a knowledge-based text generation system has been implemented and its main functions are briefly explained in the context of a sample of data. Evaluation of the system has been done and some conclusions are obtained.
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