Grade Models and Methods for Data Analysis
With Applications for the Analysis of Data Populations
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Beschreibung
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.
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.
Provides a new grade methodology for intelligent data analysis The only book presently available covering both the theory and application of grade data analysis Includes supplementary material: sn.pub/extras
Autor*in
Teresa Kowalczyk
Themen in »Grade Models and Methods for Data Analysis«
Analysis of Populations of Data Categorization of Data Cluster Analysis Concentration Concentration Curve Concentration Surface Correspondence Analysis Detection of Subpopulations Discretization Distribution Free Grade Transformation Modeling