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Advanced Techniques in Web Intelligence-2 Web User Browsing Behaviour and Preference Analysis /

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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Velásquez, Juan D. (Editor, http://id.loc.gov/vocabulary/relators/edt), Palade, Vasile. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jain, Lakhmi C. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Computational Intelligence, 452
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-642-33326-2
Summary: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.
Physical Description:XVI, 184 p. online resource.
ISBN:9783642333262
ISSN:1860-949X ;

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