Daniel Baier

Klaus-Dieter Wernecke

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003

Innovations in Classification, Data Science, and Information Systems

Lars Schmidt-Thieme

Reinhold Decker

It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.

Data Analysis and Decision Support

Horst Albach

Magdalena Mißler-Behr

Ehrenkolloquien für Prof. Dr. habil. Prof. e. h. Dieter Schönknecht und Prof. Dr. Dr. Rainer Schwarz

Gründung, Innovation und Transformation: Wirtschaftswissenschaften an der BTU Cottbus

Michael Brusch

Die Conjointanalyse ist ein wichtiges Marketing-Instrument. Damit lassen sich Kundenorientierung und Marktabdeckung verbessern, Umsätze und Gewinne steigern sowie neue Güter und Dienstleistungen erfolgreich platzieren. Das Buch bietet eine kurze und prägnante Einführung in die Grundlagen und Anwendungsmöglichkeiten der Conjointanalyse. Renommierte Experten aus Wissenschaft und Praxis vermitteln Methodik und Anwendung und zeigen anhand von Praxisbeispielen, wie die Conjointanalyse erfolgreich im Unternehmen genutzt werden kann.

Methoden - Anwendungen - Praxisbeispiele

Conjointanalyse

Daniel Baier

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