Sinossi
This book presents methods, approaches and techniques to perform the main tasks of Web log preprocessing that include Data Cleaning, Web user identification and extraction of user sessions. In order to accomplish the dimensionality reduction and trim down the adverse effect of outliers, a fuzzy set theoretic approach for assigning fuzzy weights to user sessions and associated URLs has been described. Another main part discussed in this book is the analysis of the Web server log file preprocessing results and discovery of user session clusters using Fuzzy c-Means algorithm. Mainly this book is suitable for researchers who are interested in the preprocessing techniques of web log data for Web usage mining applications such as Web personalization, website design, business intelligence etc.
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Web Log Preprocessing and Fuzzy Pattern Discovery
Editore:
LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050233
ISBN 13: 9786202050234
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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 -This book presents methods, approaches and techniques to perform the main tasks of Web log preprocessing that include Data Cleaning, Web user identification and extraction of user sessions. In order to accomplish the dimensionality reduction and trim down the adverse effect of outliers, a fuzzy set theoretic approach for assigning fuzzy weights to user sessions and associated URLs has been described. Another main part discussed in this book is the analysis of the Web server log file preprocessing results and discovery of user session clusters using Fuzzy c-Means algorithm. Mainly this book is suitable for researchers who are interested in the preprocessing techniques of web log data for Web usage mining applications such as Web personalization, website design, business intelligence etc. 108 pp. Englisch. Codice articolo 9786202050234
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Web Log Preprocessing and Fuzzy Pattern Discovery
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ISBN 10: 6202050233
ISBN 13: 9786202050234
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ansari ZahidDr. Zahid Ansari is a Professor of CSE and Dean (Research) at PA College of Engineering, Mangaluru, India. Earlier he was associated with Tata Consultancy Services R&D Center, Pune, BARC Mumbai, GE-Harris Melbourne Florid. Codice articolo 176461740
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Web Log Preprocessing and Fuzzy Pattern Discovery
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050233
ISBN 13: 9786202050234
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. Codice articolo zk6202050233
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Web Log Preprocessing and Fuzzy Pattern Discovery
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LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050233
ISBN 13: 9786202050234
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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 -This book presents methods, approaches and techniques to perform the main tasks of Web log preprocessing that include Data Cleaning, Web user identification and extraction of user sessions. In order to accomplish the dimensionality reduction and trim down the adverse effect of outliers, a fuzzy set theoretic approach for assigning fuzzy weights to user sessions and associated URLs has been described. Another main part discussed in this book is the analysis of the Web server log file preprocessing results and discovery of user session clusters using Fuzzy c-Means algorithm. Mainly this book is suitable for researchers who are interested in the preprocessing techniques of web log data for Web usage mining applications such as Web personalization, website design, business intelligence etc.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Codice articolo 9786202050234
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Web Log Preprocessing and Fuzzy Pattern Discovery
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050233
ISBN 13: 9786202050234
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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 - This book presents methods, approaches and techniques to perform the main tasks of Web log preprocessing that include Data Cleaning, Web user identification and extraction of user sessions. In order to accomplish the dimensionality reduction and trim down the adverse effect of outliers, a fuzzy set theoretic approach for assigning fuzzy weights to user sessions and associated URLs has been described. Another main part discussed in this book is the analysis of the Web server log file preprocessing results and discovery of user session clusters using Fuzzy c-Means algorithm. Mainly this book is suitable for researchers who are interested in the preprocessing techniques of web log data for Web usage mining applications such as Web personalization, website design, business intelligence etc. Codice articolo 9786202050234
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