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Structure in Complex Networks - Jörg Reichardt
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Jörg Reichardt:

Structure in Complex Networks - hardcover

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… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 4 (von 5)]
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Jörg Reichardt:

Structure in Complex Networks - hardcover

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, … More...

NEW BOOK. Shipping costs: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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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 … More...

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Structure in Complex Networks - new book

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 … More...

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Structure in Complex Networks - Reichardt, Jörg
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Reichardt, Jörg:
Structure in Complex Networks - used book

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… More...

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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.

Details of the book - Structure in Complex Networks Jïrg Reichardt Author


EAN (ISBN-13): 9783540878322
ISBN (ISBN-10): 3540878327
Hardcover
Paperback
Publishing year: 2008
Publisher: Springer Berlin Heidelberg Core >2 >T
152 Pages
Weight: 0,447 kg
Language: eng/Englisch

Book in our database since 2008-03-09T20:04:55+00:00 (London)
Detail page last modified on 2024-01-22T20:31:00+00:00 (London)
ISBN/EAN: 9783540878322

ISBN - alternate spelling:
3-540-87832-7, 978-3-540-87832-2
Alternate spelling and related search-keywords:
Book author: reich, reicha, reichard, seven reichardt
Book title: lecture notes physics, the structure physics, reichardt


Information from Publisher

Author: Jörg Reichardt
Title: Lecture Notes in Physics; Structure in Complex Networks
Publisher: Springer; Springer Berlin
151 Pages
Publishing year: 2008-11-24
Berlin; Heidelberg; DE
Language: English
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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