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Mining User Navigation Patterns from Web Access Log Files: Concepts, Steps, Procedures and Applications of Web Usage Mining - Brossura
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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.
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L'autore
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.
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Mining User Navigation Patterns from Web Access Log Files
Editore:
LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 144 pp. Englisch. Codice articolo 9783659477737
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Mining User Navigation Patterns from Web Access Log Files
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jafari MaryamMaryam 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: architectu. Codice articolo 5158506
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Mining User Navigation Patterns from Web Access Log Files
Editore:
LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Codice articolo 9783659477737
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Mining User Navigation Patterns from Web Access Log Files : Concepts, Steps, Procedures and Applications of Web Usage Mining
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659477737
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Mining User Navigation Patterns from Web Access Log Files | Concepts, Steps, Procedures and Applications of Web Usage Mining
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Taschenbuch. Condizione: Neu. Mining User Navigation Patterns from Web Access Log Files | Concepts, Steps, Procedures and Applications of Web Usage Mining | Maryam Jafari (u. a.) | Taschenbuch | 144 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659477737 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 105622131
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Mining User Navigation Patterns from Web Access Log Files: Concepts, Steps, Procedures and Applications of Web Usage Mining
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659477737
ISBN 13: 9783659477737
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Da: Mispah books, Redhill, SURRE, Regno Unito
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paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82336594777376
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