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Mining User Navigation Patterns from Web Access Log Files: Concepts, Steps, Procedures and Applications of Web Usage Mining - Couverture souple

Jafari, Maryam; Soleymani, Farzad; Jamali, Shahram

 
9783659477737: Mining User Navigation Patterns from Web Access Log Files: Concepts, Steps, Procedures and Applications of Web Usage Mining
Couverture souple
ISBN 10 : 3659477737 ISBN 13 : 9783659477737
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

Since the Web is the biggest and most widely known information source that is easily accessible and searchable, on the positive side, there is widespread participation in authoring content. Web consists of billions of interconnected documents (called Web pages) which are authored by millions of people. Web Mining aims to discover the informative knowledge or information from massive data sources available on the Web by using data mining or machine learning approaches. Web usage mining is one of the categories of Web mining which discovers user behavioral patterns from searches and accesses logs of user interactions with Websites. This book presents methods, approaches and techniques to perform three main tasks of Web usage mining that are called Preprocessing, Pattern Discovery, and Pattern Analysis. Another main part discussed in this book is Web server log file Analysis. Mainly this book is suitable for researchers who are interested in the techniques and applications of Web search, Web data management, Web mining and Web recommendation as well as Web usage mining for in-depth academic research and industrial development to gain rapid knowledge in related areas.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Since the Web is the biggest and most widely known information source that is easily accessible and searchable, on the positive side, there is widespread participation in authoring content. Web consists of billions of interconnected documents (called Web pages) which are authored by millions of people. Web Mining aims to discover the informative knowledge or information from massive data sources available on the Web by using data mining or machine learning approaches. Web usage mining is one of the categories of Web mining which discovers user behavioral patterns from searches and accesses logs of user interactions with Websites. This book presents methods, approaches and techniques to perform three main tasks of Web usage mining that are called Preprocessing, Pattern Discovery, and Pattern Analysis. Another main part discussed in this book is Web server log file Analysis. Mainly this book is suitable for researchers who are interested in the techniques and applications of Web search, Web data management, Web mining and Web recommendation as well as Web usage mining for in-depth academic research and industrial development to gain rapid knowledge in related areas.

Biographie de l'auteur

Maryam Jafari and Farzad Soleymani, M.Sc: computer software engineering. Faculty members of the Department of Computer Engineering, Ardabil branch, Islamic Azad University, Ardabil, Iran. Shahram Jamali, Ph.D: architecture of computer systems. Their research interest includes Data Mining, Web Mining and Recommender Systems.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659477737
ISBN 13 
9783659477737
Reliure
Broché
Nombre de pages
144
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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