Symbolic Data Analysis : Conceptual statistics and data Mining
Diday, Edwin; Billard, Lynne (2006-01), Symbolic Data Analysis : Conceptual statistics and data Mining, in Diday E. ; Billard L., Symbolic Data Analysis, Wiley Interscience : Chichester (England) Hoboken (NJ)
External document linkhttp://hal.archives-ouvertes.fr/hal-00360427/en/
Book titleSymbolic Data Analysis
Book authorDiday E. ; Billard L.
Series titleWiley Series in Computational Statistics
Number of pages1-321
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Abstract (EN)The first book to present a unified account of symbolic data analysis methods in a consistent statistical framework, Symbolic Data Analysis features a substantial number of examples from a range of application areas, including health, the social sciences, economics, and computer science. It includes implementation of the methods described using SODAS software, which has been developed by a team led by Edwin Diday and is freely available on the Web, with an additional chapter that provides a basic guide to the software. It also features exercises at the end of each chapter to help the reader develop their understanding of the methodology, and to enable use of the book as a course text. The book is supported by a website featuring a link to download SODAS software, datasets, solutions to exercises, and additional teaching material.
Subjects / KeywordsBasic descriptive statistics; multi-valued variables; interval-valied variables; symbolic sample mean an symbolic sample variance; modal-valued random variables; virtual hospital histograms; symbolic data and so-called rules
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