Grade Models and Methods for Data Analysis
Author | : Teresa Kowalczyk |
Publisher | : Springer Science & Business Media |
Total Pages | : 504 |
Release | : 2004-04-16 |
ISBN-10 | : 3540211209 |
ISBN-13 | : 9783540211204 |
Rating | : 4/5 (204 Downloads) |
Download or read book Grade Models and Methods for Data Analysis written by Teresa Kowalczyk and published by Springer Science & Business Media. This book was released on 2004-04-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.