Symbolic Data Analysis and the SODAS Software by Edwin Diday
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Symbolic Data Analysis and the SODAS Software
By Edwin Diday

Symbolic Data Analysis and the SODAS Software

Edited by See other recent books by Edwin Diday See other recent books by Monique Noirhomme-Fraiture
Format: Hardback

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Symbolic Data Analysis and the SODAS Software by Edwin Diday

Book Description

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.

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Book Details

ISBN: 9780470018835
ISBN-10: 0470018836
Format: Hardback
(250mm x 172mm x 30mm)
Pages: 476
Imprint: Wiley-Blackwell
Publisher: John Wiley and Sons Ltd
Publish Date: 25-Jan-2008
Country of Publication: United States

Books By Author Edwin Diday

Symbolic Data Analysis by Edwin Diday Symbolic Data Analysis, Hardback (December 2006)

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.

» View all books by Edwin Diday


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Author Biography - Edwin Diday

Edwin Diday, Centre De Recherche en Mathematiques de la Decision, Universite Paris 9, France Edwin is a Professor of Computer Science, with 50 published papers, and 14 authored or edited books to his name. He has led international research teams in Symbolic Data Analysis, and is the founder of the field. M. Noirhomme-Fraiture, Institute of Computer Science, University of Namur, Belgium Monique Noirhomme-Fraiture is Professor and Head of the Unit of Applied Mathematics at the above faculty. She is involved in several HCI projects as well as having organized conferences and workshops within this field. She has contributed to 28 published papers and co-authored 2 books.

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