Quality evaluation is a fundamental problem in the field of linguistic description of data. In this work, we analyze the concept of quality and study different tools that can be used to measure quality. The proposal is focused on time series data that are one of the most frequent datasets in real application domains.
keywords: Linguistic Description of Data, Time Series, Natural Language Generation, Data to text systems
Publication: Congress
1624015032279
June 18, 2021
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Quality evaluation is a fundamental problem in the field of linguistic description of data. In this work, we analyze the concept of quality and study different tools that can be used to measure quality. The proposal is focused on time series data that are one of the most frequent datasets in real application domains. - Alberto Bugarín, Nicolás Marín, Daniel Sánchez, Gracián Trivino - 10.1109/FUZZ-IEEE.2015.7338055
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