Overview
- This book combines two important and popular research areas: complex networks and machine learning
- This book contains not only fundamental background, but also recent research results
- Numerous illustrative figures and step-by-step examples help readers to understand the main idea and implementation details
- Includes supplementary material: sn.pub/extras
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Table of contents(10 chapters)
About this book
Reviews
Authors and Affiliations
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Central Bank of Brazil, Departament of Research (Depep), Distrito Federal, Brazil
Thiago Christiano Silva
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Computer Science and Mathematics, University of São Paulo (USP), Ribeirão Preto, Brazil
Liang Zhao
Bibliographic Information
Book Title: Machine Learning in Complex Networks
Authors: Thiago Christiano Silva, Liang Zhao
DOI: https://doi.org/10.1007/978-3-319-17290-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-17289-7Published: 11 February 2016
Softcover ISBN: 978-3-319-79234-7Published: 30 March 2018
eBook ISBN: 978-3-319-17290-3Published: 28 January 2016
Edition Number: 1
Number of Pages: XVIII, 331
Number of Illustrations: 7 b/w illustrations, 80 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Applications of Graph Theory and Complex Networks, Science, Humanities and Social Sciences, multidisciplinary, Data Mining and Knowledge Discovery, Pattern Recognition