Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (71 papers)
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Front Matter
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Invited
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Front Matter
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Clustering and Classification
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Front Matter
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About this book
Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.
Editors and Affiliations
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Universität der Bundeswehr, Fak. Wirtschafts-/Sozialwissenschaften, Helmut-Schmidt-Universität, Hamburg, Germany
Andreas Fink, Wilfried Seidel
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Dept. Mathematical Sciences, University of Essex, Colchester, United Kingdom
Berthold Lausen
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FB 12 Mathematik und Informatik, Datenbionik AG, Universität Marburg, Marburg, Germany
Alfred Ultsch
Bibliographic Information
Book Title: Advances in Data Analysis, Data Handling and Business Intelligence
Book Subtitle: Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008
Editors: Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-01044-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-01043-9Published: 06 November 2009
eBook ISBN: 978-3-642-01044-6Published: 14 October 2009
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XXVI, 695
Number of Illustrations: 104 b/w illustrations, 68 illustrations in colour
Topics: Artificial Intelligence, Statistics, general, IT in Business, Data Mining and Knowledge Discovery