Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kowalczyk, Teresa (Editor, http://id.loc.gov/vocabulary/relators/edt), Pleszczynska, Elzbieta (Editor, http://id.loc.gov/vocabulary/relators/edt), Ruland, Frederick (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Edition: 1st ed. 2004.
• Series: Studies in Fuzziness and Soft Computing, 151
• Subjects: Applied mathematics.; Engineering mathematics.; Artificial intelligence.; Statistics .; Mathematical and Computational Engineering.; Artificial Intelligence.; Statistical Theory and Methods.
• Physical Description: X, 477 p. online resource.
• ISBN: 9783540399285
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-540-39928-5

This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.