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Synopsis
Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized.
The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.
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- ÉditeurBirkhauser Boston Inc
- Date d'édition2010
- ISBN 10 0817647880
- ISBN 13 9780817647889
- ReliureRelié
- Langueanglais
- Nombre de pages486
- ÉditeurDehmer Matthias
- Coordonnées du fabricantnon disponible
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Structural Analysis of Complex Networks
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Structural Analysis of Complex Networks
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SPRINGER NATURE, 2010
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Structural Analysis of Complex Networks
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Birkhäuser Boston, 2010
ISBN 10 : 0817647880
ISBN 13 : 9780817647889
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Real-world applicationsDemonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problemsFor a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathema. N° de réf. du vendeur 5975894
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Structural Analysis of Complex Networks
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Structural Analysis of Complex Networks
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Springer Nature Singapore Okt 2010, 2010
ISBN 10 : 0817647880
ISBN 13 : 9780817647889
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoretic methods with mathematical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately.Filling a gap in literature, this self-contained book presents theoretical and application-oriented results to structurally explore complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems.Special emphasis is given to methods related to:applicationsin biology, chemistry, linguistics, and data analysis; graph colorings; graph polynomials; information measures for graphs; metrical properties of graphs; partitions and decompositions; andquantitative graph measures.Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. The book may be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods. 486 pp. Englisch. N° de réf. du vendeur 9780817647889
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Structural Analysis of Complex Networks
Edité par
Birkhäuser, 2010
ISBN 10 : 0817647880
ISBN 13 : 9780817647889
Ancien ou d'occasion
Couverture rigide
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Structural Analysis of Complex Networks
Edité par
Birkhauser Boston, 2010
ISBN 10 : 0817647880
ISBN 13 : 9780817647889
Neuf
Couverture rigide
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoretic methods with mathematical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately.Filling a gap in literature, this self-contained book presents theoretical and application-oriented results to structurally explore complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems.Special emphasis is given to methods related to:applicationsin biology, chemistry, linguistics, and data analysis; graph colorings; graph polynomials; information measures for graphs; metrical properties of graphs; partitions and decompositions; andquantitative graph measures.Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. The book may be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods. N° de réf. du vendeur 9780817647889
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Structural Analysis of Complex Networks
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