Editors:
- Focuses on the interface between Data Analysis and Computer Science
- Presents innovative methods and results for many data analysis problems
- Offers applications from a wide area of disciplines?
- 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 (22 papers)
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Front Matter
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Clustering
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Front Matter
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Analysis of Data and Models
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Front Matter
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About this book
Editors and Affiliations
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Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Wolfgang Gaul, Andreas Geyer-Schulz
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The Institute of Statistical Mathematics, Tokyo, Japan
Yasumasa Baba
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Graduate School of Management and Information Systems, Tama University, Tokyo, Japan
Akinori Okada
Bibliographic Information
Book Title: German-Japanese Interchange of Data Analysis Results
Editors: Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-319-01264-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-01263-6Published: 18 November 2013
eBook ISBN: 978-3-319-01264-3Published: 05 November 2013
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XIII, 267
Number of Illustrations: 47 b/w illustrations
Topics: Statistics and Computing/Statistics Programs, Artificial Intelligence, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Social Sciences, Humanities, Law, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Life Sciences, Medicine, Health Sciences