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Graphical Models – Methods for Data Analysis and Mining 2e de C Borgelt

Graphical Models – Methods for Data Analysis and Mining 2e: Wiley Series in Computational Statistics

Autor C Borgelt
en Limba Engleză Hardback – 6 aug 2009
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 distributions, and applications relating to graphical models and problems for further research.
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Specificații

ISBN-13: 9780470722107
ISBN-10: 047072210X
Pagini: 404
Dimensiuni: 160 x 240 x 27 mm
Greutate: 0.7 kg
Ediția:2nd Edition
Editura: Wiley
Seria Wiley Series in Computational Statistics

Locul publicării:Chichester, United Kingdom

Public țintă

Researchers, practioners, graduate students of graphical modelling, applied statistics, computer science and engineering.

Cuprins

Notă biografică

Christian Borgelt, is the Principal researcher at the European Centre for Soft Computing at Otto-von-Guericke University of Magdeburg.

Rudolf Kruse, Professor for Computer Science at Otto-von-Guericke University of Magdeburg.

Matthias Steinbrecher, Department of Knowledge Processing and Language Engineering, School of Computer Science, Universitätsplatz 2, ?Magdeburg, Germany.

Descriere

Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic concepts carefully explained and illustrated by examples throughout Contains background material including graphical representation, including Markov and Bayesian Networks. Includes a comprehensive bibliography.