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From Data and Information Analysis to Knowledge Engineering

Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005

Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul (Herausgeber)

Buch | Softcover

XIX, 761 Seiten

2006
Springer Berlin (Verlag)
978-3-540-31313-7 (ISBN)

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The volume contains revised versions of selected papers presented during the 29th Annual Conference of the Gesellschaft für Klassifikation (GfKl), the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to papers on the traditional subjects Classification, Clustering, and Data Analysis, there are many papers on a wide range of topics with a strong relation to Computer Science. Examples are Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization. Application-oriented topics include Economics, Marketing, Banking and Finance, Medicine, Bioinformatics, Biostatistics, and Music Analysis.

Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.

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.

Erscheint lt. Verlag	14.4.2009
Reihe/Serie	Studies in Classification, Data Analysis, and Knowledge Organization
Sprache	englisch
Maße	155 x 235 mm
Einbandart	Paperback
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	classification • Clustering • Data Analysis • Knowledge Engineering
ISBN-10	3-540-31313-3 / 3540313133
ISBN-13	978-3-540-31313-7 / 9783540313137
Zustand	Neuware