Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
Author:   Daniel Baier ,  Klaus-Dieter Wernecke
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2005 ed.
ISBN:  

9783540232216


Pages:   616
Publication Date:   19 November 2004
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003


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Overview

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

Full Product Details

Author:   Daniel Baier ,  Klaus-Dieter Wernecke
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005 ed.
Dimensions:   Width: 21.60cm , Height: 3.20cm , Length: 27.90cm
Weight:   1.920kg
ISBN:  

9783540232216


ISBN 10:   3540232214
Pages:   616
Publication Date:   19 November 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

Discrimination and Clustering.- Probability Models and Statistical Methods.- Pattern Recognition and Computational Learning.- Time Series Analysis.- Marketing, Retailing, and Marketing Research.- Finance, Capital Markets, and Risk Management.- Production, Logistics, and Controlling.- Medicine and Health Services.

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