Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark - Softcover
Synopsis
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.
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About the Author
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
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LAP LAMBERT Academic Publishing Dez 2017, 2017
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Taschenbuch. Condition: 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. Seller Inventory # 9786202076494
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Web User Access Behavior Analysis & Prediction
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Condition: 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 . Seller Inventory # 385925152
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Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
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LAP LAMBERT Academic Publishing, 2017
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ISBN 13: 9786202076494
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Web User Access Behavior Analysis & Prediction
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ISBN 10: 6202076496
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9786202076494
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Web User Access Behavior Analysis & Prediction : An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
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Taschenbuch. Condition: 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. Seller Inventory # 9786202076494
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Web User Access Behavior Analysis & Prediction | An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
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Taschenbuch. Condition: 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 | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202076494 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 110818236
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