Between Data Science and Applied Data Analysis: Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002

Author:   Martin Schader ,  Wolfgang A. Gaul ,  Maurizio Vichi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2003
ISBN:  

9783540403548


Pages:   694
Publication Date:   21 July 2003
Format:   Paperback
Availability:   In Print   Availability explained
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Between Data Science and Applied Data Analysis: Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002


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Overview

The volume presents new developments 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 clustering, discrimination, data analysis, and statistics, as well as applications in economics, biology, and medicine it provides recent technical and methodological developments and a large number of application papers demonstrating the usefulness of the newly developed techniques.

Full Product Details

Author:   Martin Schader ,  Wolfgang A. Gaul ,  Maurizio Vichi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2003
Dimensions:   Width: 15.50cm , Height: 3.60cm , Length: 23.50cm
Weight:   2.170kg
ISBN:  

9783540403548


ISBN 10:   354040354
Pages:   694
Publication Date:   21 July 2003
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Clustering and Discrimination.- Data Analysis and Statistics.- Data Mining, Information Processing, and Automation.- Finance, Marketing, and Management Science.- Biology, Archaeology, and Medicine.

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