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Application to the Finnish, Spanish and Portuguese data of the European Social Survey by Diday, Edwin; Noirhomme-Fraiture, Monique is a scholarly article available to read on EtoBox.

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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 work160; f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. 160; 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

Author

Diday, Edwin; Noirhomme-Fraiture, Monique

Publisher

John Wiley & Sons, Ltd

Published

2007

Language

EN

ISBN

9780470018835