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Graphical models : representations for learning, reasoning and data mining /

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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 in...

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Bibliographic Details
Main Authors: Borgelt, Christian (Author), Steinbrecher, Matthias (Author), Kruse, Rudolf (Author)
Format: eBook
Language:English
Published: Chichester, West Sussex, United Kingdom : John Wiley, 2009.
Edition:Second edition.
Series:Wiley series in computational statistics.
Subjects:
Data mining.
Mathematical statistics > Graphic methods.
Data Mining
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Graphical Models; Contents; Preface; 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; Bibliography; Index.