Abstract
The study introduces six new quality measures for linguistic summaries of databases. The basic Yager approach [6], with further improvements [1,2], based on fuzzy logic, is considered. The informativeness of summaries is discussed, and the new measures are applied in the extended version of the algorithm (introduced in [3]) which enables automated generating of textual descriptions of databases, possibly applied in WWW or RSS news, press comments, etc.
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Niewiadomski, A. (2007). Six New Informativeness Indices of Data Linguistic Summaries. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_41
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DOI: https://doi.org/10.1007/978-3-540-72575-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72574-9
Online ISBN: 978-3-540-72575-6
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