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Advanced Techniques in Web Intelligence-2: Web User Browsing Behaviour and Preference Analysis de Juan D. Velásquez

Advanced Techniques in Web Intelligence-2: Web User Browsing Behaviour and Preference Analysis: Studies in Computational Intelligence, cartea 452

Editat de Juan D. Velásquez, Vasile Palade, Lakhmi C. Jain
en Limba Engleză Hardback – 29 sep 2012
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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Specificații

ISBN-13: 9783642333255
ISBN-10: 3642333257
Pagini: 200
Ilustrații: XVI, 184 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.41 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Recenzii

From the reviews:
“This volume presents a progression of ideas, starting with data gathering, extending through behavioral characterization and user modeling, and ending with applications. Extensive references to the research literature accompany each chapter, and a rather brief subject index concludes the volume. This book is suitable for researchers and graduate students looking for a survey of current trends in the modeling of web user behavior from the perspective of web data analysis or cognitive science.” (R. M. Malyankar, ACM Computing Reviews, February, 2013)

Textul de pe ultima copertă

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.

Caracteristici

Latest research on the theory and applications of advanced techniques in web usage mining State of the art of web usage mining and web intelligence Written by leading experts in the field

Descriere

Descriere de la o altă ediție sau format:

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.