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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kowalczyk, Teresa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pleszczynska, Elzbieta (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ruland, Frederick (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Έκδοση: 1st ed. 2004.
• Σειρά: Studies in Fuzziness and Soft Computing, 151
• Θέματα: Applied mathematics.; Engineering mathematics.; Artificial intelligence.; Statistics .; Mathematical and Computational Engineering.; Artificial Intelligence.; Statistical Theory and Methods.
• Φυσική περιγραφή: 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.