Graphical Models – Methods for Data Analysis and Mining 2e : Representations for Learning, Reasoning and Data Mining
Book Details
Format
Hardback or Cased Book
Book Series
Wiley Series in Computational Statistics
ISBN-10
047072210X
ISBN-13
9780470722107
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 7th, 2009
Print length
404 Pages
Weight
718 grams
Dimensions
16.10 x 24.10 x 2.80 cms
Ksh 18,150.00
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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.
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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