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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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Bibliographic Details
Other Authors: Velásquez, Juan D. (Editor), Palade, Vasile (Editor), Jain, Lakhmi C. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Series:Studies in Computational Intelligence
Subjects:
Computational Intelligence
Artificial Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a 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 
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653 |a Artificial intelligence 
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520 |a 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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