TY  - BOOK
AU  - Borgelt,Christian
AU  - Steinbrecher,Matthias
AU  - Kruse,Rudolf
TI  - Graphical models: representations for learning, reasoning and data mining 
T2  - Wiley series in computational statistics
SN  - 9780470722107 (cloth)
AV  - QA76.9.D343 B67 2009
PY  - 2009///
CY  - Chichester, West Sussex, UK
PB  - John Wiley
KW  - Data mining
KW  - Mathematical statistics
KW  - Graphic methods
N1  - Includes bibliographical references and index; 1. Introduction
2. Imprecision and Uncertainty
3. Decomposition
4. Graphical Representation
5. Computing Projections
6. Naive Classifiers
7. Learning Global Structure
8. Learning Local Structure
9. Inductive Causation
10. Visualization
11. Applications
A. Proofs of Theorems
B. Software Tools
N2  - Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distribution
ER  -