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Advanced Techniques in Web Intelligence-2 [electronic resource] : Web User Browsing Behaviour and Preference Analysis / edited by Juan D. Vel�asquez, Vasile Palade, Lakhmi C. Jain.

Contributor(s): Vel�asquez, Juan D [editor.] | Palade, Vasile [editor.] | Jain, Lakhmi C [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 452Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVI, 184 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642333262.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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