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

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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Borgelt, Christian (Autor), Steinbrecher, Matthias (Autor), Kruse, Rudolf (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, United Kingdom : John Wiley, 2009.
Edición:Second edition.
Colección:Wiley series in computational statistics.
Temas:
Data mining.
Mathematical statistics > Graphic methods.
Data Mining
Exploration de données (Informatique)
COMPUTERS > Database Management > Data Mining.
Data mining
Mathematical statistics > Graphic methods
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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