From Data and Information Analysis to Knowledge Engineering [electronic resource] : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005 /
Gesellschaft für Klassifikation.Jahrestagung(29th :2005 :Magdeburg, Germany)
Spiliopoulou, Myra.editor.
Kruse, Rudolf.editor.
Borgelt, Christian.editor.
Nürnberger, Andreas.editor.
Gaul, Wolfgang A.editor.
Contains selected papers presented during the 29th Annual Conference of the Gesellschaft fur Klassifikation (GfKl), the German Classification Society. In addition to papers on the traditional subjects Classification, Clustering, and Data Analysis, this book includes many papers on a wide range of topics with a strong relation to Computer Science.
Description based upon print version of record.
Contains selected papers presented during the 29th Annual Conference of the Gesellschaft fur Klassifikation (GfKl), the German Classification Society. In addition to papers on the traditional subjects Classification, Clustering, and Data Analysis, this book includes many papers on a wide range of topics with a strong relation to Computer Science.
Includes bibliographical references and author index.
Plenaries and Semi-plenaries -- Clustering -- Discriminant Analysis -- Classification with Latent Variable Models -- Multiway Classification and Data Analysis -- Ranking, Multi-label Classification, Preferences -- PLS Path Modeling, PLS Regression and Classification -- Robust Methods in Multivariate Statistics -- Data Mining and Explorative Multivariate Data Analysis -- Text Mining -- Fuzzy Data Analysis -- Economics and Mining in Business Processes -- Banking and Finance -- Marketing -- Adaptivity and Personalization -- User and Data Authentication in IT Security -- Bioinformatics and Biostatistics -- Classification of High-dimensional Biological and Medical Data -- Medical and Health Sciences -- Music Analysis -- Data Mining Competition.
Library science.
Statistics .
Economic theory.
Library Science.
Statistics, general.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Life Sciences, Medicine, Health Sciences.
Economic Theory/Quantitative Economics/Mathematical Methods.