Editors:
- Focus on the interface between data analysis, computer science, and operations research
- Cutting edge methods and results for many advanced data analysis problems
- Covers traditional research directions as well as wide area of currently interesting application fields
- 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 (60 papers)
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Front Matter
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Classification, Cluster Analysis, and Multidimensional Scaling
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Front Matter
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Analysis of m-Mode n-Way and Asymmetric Data
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Front Matter
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About this book
Editors and Affiliations
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Fak. Wirtschaftswissenschaften, Inst. Entscheidungstheorieund, Universität Karlsruhe (TH), Karlsruhe, Germany
Wolfgang A. Gaul
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Insitute for Information Systems, and Management (IISM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Andreas Geyer-Schulz
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, Information Systems, University ofHildesheim, Hildesheim, Germany
Lars Schmidt-Thieme
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Institute for Information Systems, and Management (IISM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Jonas Kunze
Bibliographic Information
Book Title: Challenges at the Interface of Data Analysis, Computer Science, and Optimization
Book Subtitle: Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010
Editors: Wolfgang A. Gaul, Andreas Geyer-Schulz, Lars Schmidt-Thieme, Jonas Kunze
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-24466-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-24465-0Published: 09 February 2012
eBook ISBN: 978-3-642-24466-7Published: 06 February 2012
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XIV, 598
Number of Illustrations: 163 b/w illustrations
Topics: Statistics and Computing/Statistics Programs, Data Structures, Operations Research, Management Science, Operations Research/Decision Theory, Data Mining and Knowledge Discovery