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

Lakhmi C Jain

ISBN 10: 364223240X / ISBN 13: 9783642232404

Verlag: Springer Berlin Heidelberg, 2011

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783642232404

Bibliografische Details

• Titel: Data Mining: Foundations and Intelligent Paradigms : VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 364223240X
• ISBN-13: 9783642232404
• Einband: Buch
• Zustand: Neu
• Abmessungen: 241B x 160 H x 21 T Millimeter Breite: 241 mm, Höhe: 160 mm, Tiefe: 21 mm
• Gewicht: 613 Gramm

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining.