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Web User Access Behavior Analysis & Prediction

Name: Web User Access Behavior Analysis & Prediction
Brand: LAP Lambert Academic Publishing
SKU: 18766943
Price: 46.59 EUR
Availability: InStock
Author: Dilip Singh Sisodia
ISBN: 9786202076494

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

Dilip Singh Sisodia

Riya Singhal

Vijay Khandal

Language

English

Book Paperback

Libristo code: 18766943

Publishers LAP Lambert Academic Publishing, November 2016

The analysis of Web users browsing behaviors is essential for putting appropriate information on the... Full description

Libristo code: 18766943

114 b

46.59 € VAT included

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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.