Data Mining: Foundations and Intelligent Paradigms | VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

Dawn E. Holmes (u. a.)

ISBN 10: 3642434290 / ISBN 13: 9783642434297

Edité par Springer, 2014

Data Mining: Foundations and Intelligent Paradigms | VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects | Dawn E. Holmes (u. a.) | Taschenbuch | xiv | Englisch | 2014 | Springer | EAN 9783642434297 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105467859

Synopsis :

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Présentation de l'éditeur:

Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.

Détails bibliographiques

Titre : Data Mining: Foundations and Intelligent ...
Éditeur : Springer
Date d'édition : 2014
Reliure : Taschenbuch
Etat : Neu