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Structure in Complex Networks - Jörg Reichardt
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Jörg Reichardt:

Structure in Complex Networks - encadernado, livro de bolso

2008, ISBN: 3540878327

[EAN: 9783540878322], Neubuch, [PU: Springer, Berlin, Springer Berlin Heidelberg, Springer Nov 2008], CLUSTERING, GRAPH, NOTATION, RESOLUTION, COGNITION, COMPLEX NETWORKS, DATA MINING, LE… mais…

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Jörg Reichardt:

Structure in Complex Networks - encadernado, livro de bolso

2008, ISBN: 3540878327

[EAN: 9783540878322], Neubuch, [SC: 0.0], [PU: Springer, Berlin, Springer Berlin Heidelberg, Springer], CLUSTERING, GRAPH, NOTATION, RESOLUTION, COGNITION, COMPLEX NETWORKS, DATA MINING, … mais…

NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Structure in Complex Networks Jïrg Reichardt Author
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Structure in Complex Networks Jïrg Reichardt Author - novo libro

ISBN: 9783540878322

In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for … mais…

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Structure in Complex Networks - novo libro

ISBN: 9783540878322

In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for … mais…

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Structure in Complex Networks - Reichardt, Jörg
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Reichardt, Jörg:
Structure in Complex Networks - livro usado

2008, ISBN: 9783540878322

[PU: Springer Berlin], Neubindung, Buchrücken leicht angestossen 4774217/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2009, PayPal, Klarna-Sofortüberweisung, Internation… mais…

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Structure in Complex Networks Jïrg Reichardt Author

In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of data in a meaningful way. This concise and pedagogical research monograph introduces the reader to two specific aspects - clustering techniques and dimensionality reduction - in the context of complex network analysis. The first chapter provides a short introduction into relevant graph theoretical notation; chapter 2 then reviews and compares a number of cluster definitions from different fields of science. In the subsequent chapters, a first-principles approach to graph clustering in complex networks is developed using methods from statistical physics and the reader will learn, that even today, this field significantly contributes to the understanding and resolution of the related statistical inference issues. Finally, an application chapter examines real-world networks from the economic realm to show how the network clustering process can be used to deal with large, sparse datasets where conventional analyses fail.

Dados detalhados do livro - Structure in Complex Networks Jïrg Reichardt Author


EAN (ISBN-13): 9783540878322
ISBN (ISBN-10): 3540878327
Livro de capa dura
Livro de bolso
Ano de publicação: 2008
Editor/Editora: Springer Berlin Heidelberg Core >2 >T
152 Páginas
Peso: 0,447 kg
Língua: eng/Englisch

Livro na base de dados desde 2008-03-09T20:04:55+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-01-22T20:31:00+00:00 (Lisbon)
Número ISBN/EAN: 3540878327

Número ISBN - Ortografia alternativa:
3-540-87832-7, 978-3-540-87832-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: reich, reicha, reichard, seven reichardt
Título do livro: lecture notes physics, the structure physics, reichardt


Dados da editora

Autor: Jörg Reichardt
Título: Lecture Notes in Physics; Structure in Complex Networks
Editora: Springer; Springer Berlin
151 Páginas
Ano de publicação: 2008-11-24
Berlin; Heidelberg; DE
Língua: Inglês
53,45 € (DE)
54,95 € (AT)
59,00 CHF (CH)
Available
XIII, 151 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Clustering; Graph; Notation; Resolution; cognition; complex networks; data mining; learning; modeling; pattern recognition; algorithm analysis and problem complexity; Theory of Computation; Algorithms; Artificial Intelligence; Complex Systems; Quantitative Economics; Theoretical, Mathematical and Computational Physics; Algorithmen und Datenstrukturen; Künstliche Intelligenz; Kybernetik und Systemtheorie; Wirtschaftstheorie und -philosophie; Mathematische Physik; BC

to Complex Networks.- Standard Approaches to Network Structure: Block Modeling.- A First Principles Approach to Block Structure Detection.- Diagonal Block Models as Cohesive Groups.- Modularity of Dense Random Graphs.- Modularity of Sparse Random Graphs.- Applications.- Conclusion and Outlook.

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