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

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 t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Kowalczyk, Teresa (HerausgeberIn), Pleszczyńska, Elżbieta (HerausgeberIn), Ruland, Frederick (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 2004
Schriftenreihe:Studies in Fuzziness and Soft Computing 151
Schlagwörter:
Links:https://doi.org/10.1007/978-3-540-39928-5
https://doi.org/10.1007/978-3-540-39928-5
https://doi.org/10.1007/978-3-540-39928-5
Zusammenfassung: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
Umfang:1 Online-Ressource (X, 477 p)
ISBN:9783540399285
DOI:10.1007/978-3-540-39928-5