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

Contributor(s):

Material type: Text

TextSeries: Studies in Computational Intelligence ; 452Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVI, 184 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642333262

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q342

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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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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