02200nam a2200361 a 4500 ebr10575598 CaPaEBR m u cr cn||||||||| 120308s2012 njua sb 001 0 eng d 2012010295 9780470195154 (hardback) 9781118347010 (e-book) CaPaEBR CaPaEBR (OCoLC)779740472 Q180.55.S7 S73 2012eb 511/.5 23 Statistical and machine learning approaches for network analysis [electronic resource] / edited by Matthias Dehmer, Subhash C. Basak. Hoboken, N.J. : Wiley, 2012. xii, 331 p. : ill. Includes bibliographical references and index. "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"-- Provided by publisher. Electronic reproduction. Palo Alto, Calif. : ebrary, 2011. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. Research Statistical methods. Machine theory. Communication Network analysis Graphic methods. Information science Statistical methods. Electronic books. local Dehmer, Matthias, 1968- Basak, Subhash C., 1945- ebrary, Inc. http://site.ebrary.com/lib/rucke/Doc?id=10575598 An electronic book accessible through the World Wide Web; click to view 78224 78224