Discovering Web Page Communities
Analysis and Applications
(Sprache: Englisch)
The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web...
Leider schon ausverkauft
versandkostenfrei
Buch (Kartoniert)
60.70 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Discovering Web Page Communities “
Klappentext zu „Discovering Web Page Communities “
The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web data are usually tedious and difficult tasks when using conventional information retrieval and data management techniques. The Web page community, defined as a set of Web-based documents with its own logical and/or semantic structures, provides a flexible and effective approach to support Wed data management, information retrieval and applications. This book addresses using hyperlink information to discover Web page communities. The work establishes a uniform framework for hyperlink analysis and community construction. Algorithms, supporting mechanisms and data models are proposed in the book. This book should help shed some light on this new and exciting research and application area. It is useful to researchers and students in Web mining, Web data management and information retrieval, as well as to professionals who may be considering utilizing Web communities to improve their applications.
Autoren-Porträt von Jingyu Hou
Hou, JingyuJingyu Hou, Lecturer in the School of Engineering and Information Technology at Deakin University, Australia. PhD in Computer Science from University of Southern Queensland, Australia, PhD in Computational Mathematics from Shanghai University, China. Research areas cover data/web mining, bioinformatics, databases and information retrieval.
Bibliographische Angaben
- Autor: Jingyu Hou
- 2008, 152 Seiten, Maße: 15 x 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller e.K.
- ISBN-10: 3639044975
- ISBN-13: 9783639044973
Sprache:
Englisch
Kommentar zu "Discovering Web Page Communities"
Schreiben Sie einen Kommentar zu "Discovering Web Page Communities".
Kommentar verfassen