Statistical and Machine Learning Approaches for Network Analysis



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Statistical and Machine Learning Approaches for Network Analysis
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AuthorsMatthias Dehmer, Subhash C. Basak
PublisherWiley
Published2012
Pages344
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-100470195150
ISBN-139780470195154
EBook Hardcover Paperback

Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks.

Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout.





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