Statistical and machine learning approaches for network analysis:
Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Dehmer, Matthias 1968- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Hoboken, N.J. Wiley 2012
Schriftenreihe:Wiley series in computational statistics 707
Schlagwörter:
Links:https://onlinelibrary.wiley.com/doi/book/10.1002/9781118346990
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118346990
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118346990
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028812927&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:"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"--
Includes bibliographical references and index
Umfang:1 Online-Ressource
ISBN:9781118346983
111834698X
9781118347010
1118347013
9781118347027
1118347021
9781118346990
1118346998
0470195150
1280872713
9781280872716