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The volume presents recent advances in data analysis and decision support and gives an actual overview on the interface between mathematics, operations research, statistics, computer science, and management science. Areas that receive considerable attention in the book are discrimination and clustering, multidimensional scaling, data mining and decision support systems as well as applications in marketing and corporate planning. 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.
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Data Analysis and Decision Support
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First Sentence:
Classical data analysis considers single-valued variables such that, for n objects and p variables, each entry xkj of the data matrix X = (xkj)nxp is a real number (quantitative case) or a category (qualitative case). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
preferential choice data, symmetry weight configuration, conditional switching probabilities, particular multivariate distribution, quadrilinear models, fixed point clusters, differences among perceivers, brand choice behaviour, common object space, copula analysis, asymmetric multidimensional scaling, iid model, centroid matrix, data mining projects, repeated confidence intervals, symbolic data analysis, traffic simulation model, priori partition, copula function, excess loyalty, complete preorder, switching matrices, component classifiers, reward criterion, discrimination criterion Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Germany Abstract, Journal of Marketing Research, Audi of America, Marketing Science, Journal of Business, Machine Learning, Universität Karlsruhe, International Conference, Journal of Classification, Knowledge Organization, Industrial Marketing Management, International Marketing Review, Nested Logit Model, Prentice Hall, Some Approaches, Two-Mode Overlapping, Adjusted Rand Index, European Journal of Operational Research, Garden Ring, Global Marshall Plan, Kluwer Academic Publishers, Know-how des Anwenders, Morgan Kaufmann, Moscow City Government New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Classical data analysis considers single-valued variables such that, for n objects and p variables, each entry xkj of the data matrix X = (xkj)nxp is a real number (quantitative case) or a category (qualitative case). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
preferential choice data, symmetry weight configuration, conditional switching probabilities, particular multivariate distribution, quadrilinear models, fixed point clusters, differences among perceivers, brand choice behaviour, common object space, copula analysis, asymmetric multidimensional scaling, iid model, centroid matrix, data mining projects, repeated confidence intervals, symbolic data analysis, traffic simulation model, priori partition, copula function, excess loyalty, complete preorder, switching matrices, component classifiers, reward criterion, discrimination criterion Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Germany Abstract, Journal of Marketing Research, Audi of America, Marketing Science, Journal of Business, Machine Learning, Universität Karlsruhe, International Conference, Journal of Classification, Knowledge Organization, Industrial Marketing Management, International Marketing Review, Nested Logit Model, Prentice Hall, Some Approaches, Two-Mode Overlapping, Adjusted Rand Index, European Journal of Operational Research, Garden Ring, Global Marshall Plan, Kluwer Academic Publishers, Know-how des Anwenders, Morgan Kaufmann, Moscow City Government New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 68
books:
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4
books
cite this book:
- Data Analysis: Scientific Modeling and Practical Application (Studies in Classification, Data Analysis, and Knowledge Organization) by Wolfgang Gaul on 17 pages
- Classification As a Tool of Research by W. Gaul on page 148, Back Matter (1), and Back Matter (2)
- Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data (Studies in Classification, Data Analysis, and Knowledge Organization) by Hans-Hermann Bock on page 10, page 28, and Back Matter
- Design and Marketing Of New Products (2nd Edition) by Glen L. Urban on page 198, and page 289
- Classification and Related Methods of Data Analysis by Hans Hermann Bock on page 112, and Back Matter
See all 68 books this book cites
- From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University ... Data Analysis, and Knowledge Organization) by Myra Spiliopoulou in Front Matter, and page 124
- Classification - the Ubiquitous Challenge: Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, ... Data Analysis, and Knowledge Organization) by Claus Weihs in Front Matter
- Multidimensional Nonlinear Descriptive Analysis by Shizuhiko Nishisato in Back Matter
- Fat-Tailed and Skewed Asset Return Distributions : Implications for Risk Management, Portfolio Selection, and Option Pricing by Svetlozar T. Rachev on page 180
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