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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|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
2012.
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| Subjects: | |
| Online Access: | An electronic book accessible through the World Wide Web; click to view |
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| 007 | cr cn||||||||| | ||
| 008 | 120308s2012 njua sb 001 0 eng d | ||
| 010 | |z 2012010295 | ||
| 020 | |z 9780470195154 (hardback) | ||
| 020 | |z 9781118347010 (e-book) | ||
| 035 | |a (CaPaEBR)ebr10575598 | ||
| 035 | |a (OCoLC)779740472 | ||
| 040 | |a CaPaEBR |c CaPaEBR | ||
| 050 | 1 | 4 | |a Q180.55.S7 |b S73 2012eb |
| 082 | 0 | 4 | |a 511/.5 |2 23 |
| 245 | 0 | 0 | |a Statistical and machine learning approaches for network analysis |h [electronic resource] / |c edited by Matthias Dehmer, Subhash C. Basak. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c 2012. | ||
| 300 | |a xii, 331 p. : |b ill. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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"-- |c Provided by publisher. | ||
| 533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2011. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
| 650 | 0 | |a Research |x Statistical methods. | |
| 650 | 0 | |a Machine theory. | |
| 650 | 0 | |a Communication |x Network analysis |x Graphic methods. | |
| 650 | 0 | |a Information science |x Statistical methods. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 700 | 1 | |a Dehmer, Matthias, |d 1968- | |
| 700 | 1 | |a Basak, Subhash C., |d 1945- | |
| 710 | 2 | |a ebrary, Inc. | |
| 856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10575598 |z An electronic book accessible through the World Wide Web; click to view |
| 908 | |a 170314 | ||
| 942 | 0 | 0 | |c EB |
| 999 | |c 140050 |d 140050 | ||