Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark - Brossura
Sinossi
The analysis of Web users browsing behaviors is essential for putting appropriate information on the web. The browsing behaviors are stored as navigational patterns in web server logs. These weblogs are used to predict the frequently accessed patterns of web users, which can be used to predict user behavior and to collect business intelligence. However, owing to the exponentially increasing weblog size, existing implementations of frequent pattern mining algorithms often takes too much time and generate too many redundant patterns. This book discussed new association rule mining algorithms implemented on the Apache Spark platform for extracting frequent patterns from huge weblogs.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Vijay Khandal & Riya Singhal received their B.Tech. degrees in computer science & engineering respectively with honours and gold medal in 2016 from National Institute of Technology Raipur. Dr. Dilip Singh Sisodia is an assistant professor with the department of computer science engineering,National Institute of Technology Raipur.
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Web User Access Behavior Analysis & Prediction
Editore:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202076496
ISBN 13: 9786202076494
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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 -The analysis of Web users browsing behaviors is essential for putting appropriate information on the web. The browsing behaviors are stored as navigational patterns in web server logs. These weblogs are used to predict the frequently accessed patterns of web users, which can be used to predict user behavior and to collect business intelligence. However, owing to the exponentially increasing weblog size, existing implementations of frequent pattern mining algorithms often takes too much time and generate too many redundant patterns. This book discussed new association rule mining algorithms implemented on the Apache Spark platform for extracting frequent patterns from huge weblogs. 92 pp. Englisch. Codice articolo 9786202076494
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Web User Access Behavior Analysis & Prediction
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ISBN 10: 6202076496
ISBN 13: 9786202076494
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sisodia Dilip SinghVijay Khandal & Riya Singhal received their B.Tech. degrees in computer science & engineering respectively with honours and gold medal in 2016 from National Institute of Technology Raipur. Dr. Dilip Singh Sisodia . Codice articolo 385925152
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Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202076496
ISBN 13: 9786202076494
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock. Codice articolo zk6202076496
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Web User Access Behavior Analysis & Prediction
Editore:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202076496
ISBN 13: 9786202076494
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -The analysis of Web users browsing behaviors is essential for putting appropriate information on the web. The browsing behaviors are stored as navigational patterns in web server logs. These weblogs are used to predict the frequently accessed patterns of web users, which can be used to predict user behavior and to collect business intelligence. However, owing to the exponentially increasing weblog size, existing implementations of frequent pattern mining algorithms often takes too much time and generate too many redundant patterns. This book discussed new association rule mining algorithms implemented on the Apache Spark platform for extracting frequent patterns from huge weblogs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Codice articolo 9786202076494
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Web User Access Behavior Analysis & Prediction : An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202076496
ISBN 13: 9786202076494
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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 - The analysis of Web users browsing behaviors is essential for putting appropriate information on the web. The browsing behaviors are stored as navigational patterns in web server logs. These weblogs are used to predict the frequently accessed patterns of web users, which can be used to predict user behavior and to collect business intelligence. However, owing to the exponentially increasing weblog size, existing implementations of frequent pattern mining algorithms often takes too much time and generate too many redundant patterns. This book discussed new association rule mining algorithms implemented on the Apache Spark platform for extracting frequent patterns from huge weblogs. Codice articolo 9786202076494
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Web User Access Behavior Analysis & Prediction | An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202076496
ISBN 13: 9786202076494
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Taschenbuch. Condizione: Neu. Web User Access Behavior Analysis & Prediction | An Association Rule mining Approach using Map-Reduce Framework on Apache Spark | Dilip Singh Sisodia (u. a.) | Taschenbuch | 92 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202076494 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 110818236
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