Yager, Ronald R. Data mining using granular linguistic summaries. (English) Zbl 1095.68659 Torra, Vicenç (ed.), Information fusion in data mining. Berlin: Springer (ISBN 3-540-00676-1/hbk). Stud. Fuzziness Soft Comput. 123, 211-229 (2003). Summary: The concept of linguistic summaries is introduced as a user friendly way to present information mined from a database. We discuss methods for measuring the amount of information provided by a linguistic summary. The issue of conjecturing, how to decide on which summaries maybe informative, is discussed. Two approaches to help us focus on relevant summaries are discussed. The first, called the template method, makes use of available linguistic concepts related to the domain of the attributes involved. The second approach uses themountain clustering method to help focus our summaries.For the entire collection see [Zbl 1030.68100]. Cited in 1 Document MSC: 68T05 Learning and adaptive systems in artificial intelligence 68P15 Database theory Keywords:mountain clustering method Software:Summary SQL PDFBibTeX XMLCite \textit{R. R. Yager}, Stud. Fuzziness Soft Comput. 123, 211--229 (2003; Zbl 1095.68659)