Clustering Methodology for Symbolic Data: Wiley Series in Computational Statistics
Autor LB Billarden Limba Engleză Hardback – 24 oct 2019
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Specificații
ISBN-13: 9780470713938
ISBN-10: 0470713933
Pagini: 352
Dimensiuni: 150 x 241 x 21 mm
Greutate: 0.61 kg
Editura: Wiley
Seria Wiley Series in Computational Statistics
Locul publicării:Chichester, United Kingdom
ISBN-10: 0470713933
Pagini: 352
Dimensiuni: 150 x 241 x 21 mm
Greutate: 0.61 kg
Editura: Wiley
Seria Wiley Series in Computational Statistics
Locul publicării:Chichester, United Kingdom
Public țintă
Postgraduate students of, and researchers within, web mining, text mining and bio–engineering, Practitioners of symbolic data analysis–ie, statisticians and economists within the public (e.g. national statistics institutes) and private (eg banks, insurance companies, companies managing databases) sectors.Cuprins
Notă biografică
LYNNE BILLARD, PHD, is University Professor in the Department of Statistics at the University of Georgia, USA. She has over two hundred and twenty-five publications mostly in leading journals, and co-edited six books. Professor Billard is a former president of ASA, IBS, and ENAR. EDWIN DIDAY, PHD, is the Professor of Computer Science at Centre De Recherche en Mathematiques de la Decision, CEREMADE, Université Paris-Dauphine, Université PSL, Paris, France. He has published fifty-eight papers and authored or edited fourteen books. Professor Diday is also the founder of the Symbolic Data Analysis field.
Descriere
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 a data.