000			02202nam a2200361 a 4500
001			ebr10575598
003			CaPaEBR
006			m u
007			cr cn|||||||||
008			120308s2012 njua sb 001 0 eng d
010			_z 2012010295
020			_z9780470195154 (hardback)
020			_z9781118347010 (e-book)
040			_aCaPaEBR _cCaPaEBR
035			_a(OCoLC)779740472
050	1	4	_aQ180.55.S7 _bS73 2012eb
082	0	4	_a511/.5 _223
245	0	0	_aStatistical and machine learning approaches for network analysis _h[electronic resource] / _cedited by Matthias Dehmer, Subhash C. Basak.
260			_aHoboken, N.J. : _bWiley, _c2012.
300			_axii, 331 p. : _bill.
504			_aIncludes 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"-- _cProvided by publisher.
533			_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2011. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries.
650		0	_aResearch _xStatistical methods.
650		0	_aMachine theory.
650		0	_aCommunication _xNetwork analysis _xGraphic methods.
650		0	_aInformation science _xStatistical methods.
655		7	_aElectronic books. _2local
700	1		_aDehmer, Matthias, _d1968-
700	1		_aBasak, Subhash C., _d1945-
710	2		_aebrary, Inc.
856	4	0	_uhttp://site.ebrary.com/lib/rucke/Doc?id=10575598 _zAn electronic book accessible through the World Wide Web; click to view
999			_c181729 _d181729