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Structure in Complex Networks: 766 (Lecture Notes in Physics, 766) - Tapa dura

Reichardt, Jörg

 
9783540878322: Structure in Complex Networks: 766 (Lecture Notes in Physics, 766)
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ISBN 10: 3540878327 ISBN 13: 9783540878322
Editorial: Springer, 2008

Sinopsis

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.

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De la contraportada

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.

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Editorial
Springer
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3540878327
ISBN 13 
9783540878322
Encuadernación
Tapa dura
Número de páginas
168
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

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Baden-Württemberg
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Alemania

Otras ediciones populares con el mismo título

9783642099656: Structure in Complex Networks: 766 (Lecture Notes in Physics)

Edición Destacada

ISBN 10:  3642099653 ISBN 13:  9783642099656
Editorial: Springer, 2010
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