Statistical and machine learning approaches for network analysis / edited by Matthias Dehmer, Subhash C. Basak.

"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...

Full description

Saved in:
Bibliographic Details
:
TeilnehmendeR:
Year of Publication:2012
Language:English
Online Access:
Physical Description:xii, 331 p. :; ill.
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02306nam a2200409 a 4500
001 500894394
003 MiAaPQ
005 20200520144314.0
006 m o d |
007 cr cn|||||||||
008 120308s2012 njua sb 001 0 eng d
010 |z  2012010295 
020 |z 9780470195154 (hardback) 
020 |a 9781118347010 (electronic bk.) 
035 |a (MiAaPQ)500894394 
035 |a (Au-PeEL)EBL894394 
035 |a (CaPaEBR)ebr10575598 
035 |a (CaONFJC)MIL371402 
035 |a (OCoLC)779740472 
040 |a MiAaPQ  |c MiAaPQ  |d MiAaPQ 
050 4 |a Q180.55.S7  |b S73 2012 
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. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest 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 4 |a Electronic books. 
700 1 |a Dehmer, Matthias,  |d 1968- 
700 1 |a Basak, Subhash C.,  |d 1945- 
710 2 |a ProQuest (Firm) 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=894394  |z Click to View