Statistical and machine learning approaches for network analysis / Matthias Dehmer, Subhash C. Basak.

Author/creator Dehmer, Matthias, 1968-
Other author Basak, Subhash C., 1945-
Format Electronic
Publication InfoHoboken, N.J. : Wiley,
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Research--Statistical methods.
Machine theory.
Communication--Network analysis. --Graphic methods.
Information science--Statistical methods.

SeriesWiley series in computational statistics ; 707
Abstract "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Dehmer, Matthias, 1968- Statistical and machine learning approaches for network analysis Hoboken, N.J. : Wiley, 2012 9780470195154 (hardback)
Genre/formElectronic books.
LCCN 2012010295
ISBN9781118346983 (epub)
ISBN9781118347010 (pdf)
ISBN9781118347027 ( mobi)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available