Statistical and machine learning approaches for network analysis (Record no. 181729)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02202nam a2200361 a 4500 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 511/.5 |
| 245 00 - TITLE STATEMENT | |
| Title | Statistical and machine learning approaches for network analysis |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Hoboken, N.J. : |
| Name of publisher | Wiley, |
| Year of publication | 2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 331 p. : |
| Other physical details | ill. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Research |
| Topical Term | Machine theory. |
| Topical Term | Communication |
| Topical Term | Information science |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dehmer, Matthias, |
| Personal name | Basak, Subhash C., |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://site.ebrary.com/lib/rucke/Doc?id=10575598 |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
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