Web User Access Behavior by Sisodia Dilip (6 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2017

    6202076496 / 9786202076494

    • Softcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    6202076496 / 9786202076494

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Dez 2017, 2017

    6202076496 / 9786202076494

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2017

    6202076496 / 9786202076494

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2017

    6202076496 / 9786202076494

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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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 .…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Dez 2017, 2017

    6202076496 / 9786202076494

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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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.…