Statistical and machine learning approaches for network analysis
"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and...
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| Format: | eBook |
| Language: | English |
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Hoboken, N.J.
Wiley
2012
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| Series: | Wiley series in computational statistics
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"-- |
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| Physical Description: | 1 online resource |
| ISBN: | 1118346998 9781280872716 1118347013 9781118346990 1118347021 1280872713 111834698X 9781118346983 9781118347027 9781118347010 |