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Classification as a Tool for Research: Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009
     

Classification as a Tool for Research: Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009

by Hermann Locarek-Junge (Editor), Claus Weihs (Editor)
 

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,

Overview

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.

Editorial Reviews

From the Publisher
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“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)

Product Details

ISBN-13:
9783642107443
Publisher:
Springer Berlin Heidelberg
Publication date:
04/01/2010
Series:
Studies in Classification, Data Analysis, and Knowledge Organization Series
Edition description:
2010
Pages:
823
Product dimensions:
6.10(w) x 9.30(h) x 1.80(d)

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