Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Advanced Techniques in Web Intelligence-2
Details
This book presents tasks for gathering information on and interpreting user behavior in Web based systems, ubiquitous environments, social networks and traditional Web applications, in order to create new systems that personalize the Web user experience.
This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions.
The book is directed to graduate students, researchers/scientists and engineers interested in updating their knowledge with the recent trends in web user analysis, for developing the next generation of web-based systems and applications.
Latest research on the theory and applications of advanced techniques in web usage mining State of the art of web usage mining and web intelligence Written by leading experts in the field
Inhalt
New Trends in Web User Behaviour Analysis.- Web Usage Data Pre-processing.- Cognitive Science forWeb Usage Analysis.- Web Usage Mining: Discovering Usage Patterns for Web Applications.- Web Opinion Mining and Sentimental Analysis.- Web Usage Based Adaptive Systems.- Recommender Systems: Sources of Knowledge and Evaluation Metrics.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642430350
- Auflage 2013
- Editor Juan D. Velásquez, Lakhmi C. Jain, Vasile Palade
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H235mm x B155mm x T12mm
- Jahr 2014
- EAN 9783642430350
- Format Kartonierter Einband
- ISBN 364243035X
- Veröffentlichung 15.10.2014
- Titel Advanced Techniques in Web Intelligence-2
- Untertitel Web User Browsing Behaviour and Preference Analysis
- Gewicht 312g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 200