Data Analysis and Decision Support (Paperback, 2005 ed.)

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."

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	July 2005
First published:	2005
Editors:	Daniel Baier • Reinhold Decker • Lars Schmidt-Thieme
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	352
Edition:	2005 ed.
ISBN-13:	978-3-540-26007-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Promotions
LSN:	3-540-26007-2
Barcode:	9783540260073

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