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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, United Kingdom :
John Wiley,
2009.
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| Edition: | Second edition. |
| Series: | Wiley series in computational statistics.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 distributi. |
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| Physical Description: | 1 online resource (viii, 393 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780470749562 0470749563 9780470749555 0470749555 047072210X 9780470722107 |