Computational Network Theory: Theoretical Foundations and Applications - Rilegato

Rilegato

ISBN 10: 3527337245 ISBN 13: 9783527337248

Casa editrice: Blackwell Pub, 2015

Riassunto

Diese umfassende Einführung in die rechnergestützte Netzwerktheorie als ein Zweig der Netzwerktheorie baut auf dem Grundsatz auf, dass solche Netzwerke als Werkzeuge zu verstehen sind, mit denen sich durch die Anwendung rechnergestützter Verfahren auf große Mengen an Netzwerkdaten Hypothesen ableiten und verifizieren lassen.
Ein Team aus erfahrenden Herausgebern und renommierten Autoren aus der ganzen Welt präsentieren und erläutern eine Vielzahl von repräsentativen Methoden der rechnergestützten Netzwerktheorie, die sich aus der Graphentheorie, rechnergestützten und statistischen Verfahren ableiten.
Dieses Referenzwerk überzeugt durch einen einheitlichen Aufbau und Stil und eignet sich auch für Kurse zu rechnergestützten Netzwerken.

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Informazioni sull?autore

Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he is Professor at UMIT - The Health and Life Sciences University (Austria) and also holds a position at the Universität der Bundeswehr München. His research interests are in applied mathematics, bioinformatics, systems biology, graph theory, complexity and information theory. He has written over 180 publications in his research areas.

Frank Emmert-Streib studied physics at the University of Siegen (Germany) gaining his PhD in theoretical physics from the University of Bremen (Germany). He received postdoctoral training from the Stowers Institute for Medical Re- search (Kansas City, USA) and the University of Washington (Seattle, USA). Currently, he is an associate professor at the Queen's University Belfast (UK) at the Center for Cancer Research and Cell Biology heading the Computational Biology and Machine Learning Laboratory. His main research interests are in the field of computational medicine, network biology and statistical genomics.

Dalla quarta di copertina

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are important tools to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks and special aspects of complex network analysis and operations
research.

Dettagli dell'edizione

• Editore: Blackwell Pub
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 3527337245
• ISBN 13: 9783527337248
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 242
• Redattore: Dehmer Matthias, Emmert-Streib Frank, Pickl Stefan
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile