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...

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Year of Publication:2012
Language:English
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Physical Description:xii, 331 p. :; ill.
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spelling 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. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Research Statistical methods.
Machine theory.
Communication Network analysis Graphic methods.
Information science Statistical methods.
Electronic books.
Dehmer, Matthias, 1968-
Basak, Subhash C., 1945-
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=894394 Click to View
language English
format Electronic
eBook
author2 Dehmer, Matthias, 1968-
Basak, Subhash C., 1945-
ProQuest (Firm)
author_facet Dehmer, Matthias, 1968-
Basak, Subhash C., 1945-
ProQuest (Firm)
ProQuest (Firm)
author2_variant m d md
s c b sc scb
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_corporate ProQuest (Firm)
author_sort Dehmer, Matthias, 1968-
title Statistical and machine learning approaches for network analysis
spellingShingle Statistical and machine learning approaches for network analysis
title_full Statistical and machine learning approaches for network analysis [electronic resource] / edited by Matthias Dehmer, Subhash C. Basak.
title_fullStr Statistical and machine learning approaches for network analysis [electronic resource] / edited by Matthias Dehmer, Subhash C. Basak.
title_full_unstemmed Statistical and machine learning approaches for network analysis [electronic resource] / edited by Matthias Dehmer, Subhash C. Basak.
title_auth Statistical and machine learning approaches for network analysis
title_new Statistical and machine learning approaches for network analysis
title_sort statistical and machine learning approaches for network analysis
publisher Wiley,
publishDate 2012
physical xii, 331 p. : ill.
isbn 9781118347010 (electronic bk.)
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q180
callnumber-sort Q 3180.55 S7 S73 42012
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=894394
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 511 - General principles of mathematics
dewey-full 511/.5
dewey-sort 3511 15
dewey-raw 511/.5
dewey-search 511/.5
oclc_num 779740472
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is_hierarchy_title Statistical and machine learning approaches for network analysis
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