Das Web Mining, welches aus den Teilgebieten Web Structure Mining, Web Content Mining und Web Usage Mining besteht, erlangt im Zuge der Web-basierten Kommunikation eine immer st�rkere Bedeutung. Aufgrund un�berschaubarer Datenmengen im Web sind gerade leistungsf�hige Verfahren zur Gewinnung und Analyse Web-basierter Informationen von gro�er Wichtigkeit.

Matthias Dehmer r�ckt das Web Structure Mining, insbesondere die strukturelle Analyse Web-basierter Hypertexte auf Grundlage gerichteter Graphen, in den Mittelpunkt seiner Untersuchung. Der Autor stellt ein graphentheoretisches Modell zur Bestimmung der strukturellen �hnlichkeit einer Klasse von gerichteten Graphen vor. Auf Basis des angesprochenen Modells f�hrt er Experimente mit bestehenden Hypertexten durch und beschreibt neuartige Anwendungen im Web Structure Mining und in anderen Gebieten.

About the Author

Dr. Matthias Dehmer arbeitet in der Informatik im Bereich der Strukturklassifikation und der Analyse von graphbasierten Netzwerken. In der Mathematik ist er in der diskreten Mathematik (Schwerpunkt Graphentheorie) und in der angewandten Funktionentheorie (Schwerpunkt Nullstellenlokalisierung) t�tig.

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