Overview
- 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 (90 papers)
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(Semi-) Plenary Presentations
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Classification and Data Analysis
Keywords
About this book
Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
Reviews
From the reviews:
“It presents some recent developments in the arena of classification and data analysis. … this volume may help to widen and deepen the exchange of knowledge in all aspects of clustering and data analysis, as well as in other related fields. … the targeted audience may be … cluster of individuals doing research in these areas and, of course, libraries. One of the prominent features of the volume is that it blends theoretical aspects with practical problems so it can equally attract researchers and practitioners.” (Technometrics, Vol. 53 (3), August, 2011)
Editors and Affiliations
Bibliographic Information
Book Title: Classification as a Tool for Research
Book Subtitle: Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009
Editors: Hermann Locarek-Junge, Claus Weihs
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-10745-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-10744-3Published: 23 August 2010
eBook ISBN: 978-3-642-10745-0Published: 03 August 2010
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XXXVI, 823
Number of Illustrations: 236 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Data Mining and Knowledge Discovery, Artificial Intelligence, Statistical Theory and Methods, Statistics and Computing/Statistics Programs