Innovations in Classification, Data Science, and Information Systems [electronic resource] : Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003 /
Gesellschaft für Klassifikation.Jahrestagung(27th :2003 :Brandenburgische Technische Universität Cottbus)
Baier, Daniel.editor.
Wernecke, Klaus-Dieter.editor.
The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant 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.
The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant 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.
Internat. conference proceedings.
Includes bibliographical references and index.
Discrimination and Clustering -- Probability Models and Statistical Methods -- Pattern Recognition and Computational Learning -- Time Series Analysis -- Marketing, Retailing, and Marketing Research -- Finance, Capital Markets, and Risk Management -- Production, Logistics, and Controlling -- Medicine and Health Services.
Library science.
Statistics .
Mathematical statistics.
Information technology.
Business-Data processing.
Computers.
Data structures (Computer science).
Library Science.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
IT in Business.
Information Systems and Communication Service.
Data Structures.
Studies in classification, data analysis, and knowledge organization