02171nam a2200349 a 4500001001200000003000800012006001900020007001500039008004100054010001700095020002900112020002700141040002100168035002100189050002700210082001500237245014000252260003500392300002400427504005100451520078100502533015201283650003501435650002001470650005401490650004601544655002901590700002901619700003001648710001701678856012601695ebr10575598CaPaEBRm        u        cr cn|||||||||120308s2012    njua    sb    001 0 eng d  z  2012010295  z9780470195154 (hardback)  z9781118347010 (e-book)  aCaPaEBRcCaPaEBR  a(OCoLC)77974047214aQ180.55.S7bS73 2012eb04a511/.522300aStatistical and machine learning approaches for network analysish[electronic resource] /cedited by Matthias Dehmer, Subhash C. Basak.  aHoboken, N.J. :bWiley,c2012.  axii, 331 p. :bill.  aIncludes bibliographical references and index.  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"--cProvided by publisher.  aElectronic reproduction.bPalo Alto, Calif. :cebrary,d2011.nAvailable via World Wide Web.nAccess may be limited to ebrary affiliated libraries. 0aResearchxStatistical methods. 0aMachine theory. 0aCommunicationxNetwork analysisxGraphic methods. 0aInformation sciencexStatistical methods. 7aElectronic books.2local1 aDehmer, Matthias,d1968-1 aBasak, Subhash C.,d1945-2 aebrary, Inc.40uhttp://site.ebrary.com/lib/rucke/Doc?id=10575598zAn electronic book accessible through the World Wide Web; click to view