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Structure in Complex Networks - Jörg Reichardt
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2008, ISBN: 9783540878322

ID: 804224759

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. This research monograph introduces the reader to two specific aspects-- clustering techniques and dimensionality reduction--in the context of complex network analysis. Buch (fremdspr.) gebundene Ausgabe 24.11.2008 Bücher>Fremdsprachige Bücher>Englische Bücher, Springer, .200

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Structure in Complex Networks - Jörg Reichardt
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Structure in Complex Networks - neues Buch

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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. This research monograph introduces the reader to two specific aspects-- clustering techniques and dimensionality reduction--in the context of complex network analysis. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Structure in Complex Networks - Jörg Reichardt
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Jörg Reichardt:
Structure in Complex Networks - neues Buch

2008, ISBN: 3540878327

ID: 9814578464

[EAN: 9783540878322], Neubuch, [SC: 8.94], [PU: Springer-Verlag Gmbh Nov 2008], MATHEMATIK / WIRTSCHAFTS- U. SOZIALWISSENSCHAFTEN; SPIELTHEORIE (MATHEMATISCH); STATISTIK, Neuware - 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. 152 pp. Englisch

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Structure in Complex Networks - Jörg Reichardt
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[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 3.50], Neuware, gewerbliches Angebot, 244x163x41 mm, 152, [GW: 447g], PayPal, Banküberweisung, Internationaler Versand

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ISBN: 9783540878322

ID: 9783540878322

Computer Science; Theory of Computation; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Complex Systems; Economic Theory/Quantitative Economics/Mathematical Methods; Statistical Physics and Dynamical Systems Clustering, Graph, Notation, Resolution, cognition, complex networks, data mining, learning, modeling, pattern recognition Books, Springer Nature

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Structure in Complex Networks

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.

Detailangaben zum Buch - Structure in Complex Networks


EAN (ISBN-13): 9783540878322
ISBN (ISBN-10): 3540878327
Gebundene Ausgabe
Erscheinungsjahr: 2008
Herausgeber: Springer-Verlag GmbH
152 Seiten
Gewicht: 0,447 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 09.03.2008 21:04:55
Buch zuletzt gefunden am 01.12.2017 17:28:04
ISBN/EAN: 3540878327

ISBN - alternative Schreibweisen:
3-540-87832-7, 978-3-540-87832-2


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