Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft f�r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 / Edition 1

Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft f�r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 / Edition 1

ISBN-10:
3540232214
ISBN-13:
9783540232216
Pub. Date:
12/22/2004
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3540232214
ISBN-13:
9783540232216
Pub. Date:
12/22/2004
Publisher:
Springer Berlin Heidelberg
Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft f�r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 / Edition 1

Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft f�r Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 / Edition 1

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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 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.


Product Details

ISBN-13: 9783540232216
Publisher: Springer Berlin Heidelberg
Publication date: 12/22/2004
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Edition description: 2005
Pages: 616
Product dimensions: 8.50(w) x 10.98(h) x 0.05(d)

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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