Книга Web User Access Behavior Analysis & Prediction Dilip Singh Sisodia

Web User Access Behavior Analysis & Prediction

An Association Rule mining Approach using Map-Reduce Framework on Apache Spark

Език: Английски език
Корици: С меки корици
Наличност: Външен склад
Изпращаме след 5-8 дни
45.76 89.49 лв
The analysis of Web users browsing behaviors is essential for putting appropriate information on the...

Информация за книгата

Език
Английски език
Корици
Книга - С меки корици
Издадена
2017
страници
92
EAN
9786202076494
Enbook ID
18766943
Теглоt
155
Размери
150 x 220 x 6

Пълно описание

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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