Library of American University of Madaba
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Velásquez, Juan D.
Advanced Techniques in Web Intelligence-2 Web User Browsing Behaviour and Preference Analysis / [electronic resource] : edited by Juan D. Velásquez, Vasile Palade, Lakhmi C. Jain. - XVI, 181 p. 24 illus. online resource. - Studies in Computational Intelligence, 452 1860-949X ; .
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.
9783642333262
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
006.3
Advanced Techniques in Web Intelligence-2 Web User Browsing Behaviour and Preference Analysis / [electronic resource] : edited by Juan D. Velásquez, Vasile Palade, Lakhmi C. Jain. - XVI, 181 p. 24 illus. online resource. - Studies in Computational Intelligence, 452 1860-949X ; .
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.
9783642333262
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
006.3