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.
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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)
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