Web User Access Behavior Analysis & Prediction

Name: Web User Access Behavior Analysis & Prediction
Brand: LAP Lambert Academic Publishing
SKU: 9786202076494
Price: 43.08 EUR
Availability: InStock

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

Autor: Dilip Singh Sisodia, Riya Singhal, Vijay Khandal

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

43.08 €

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

Informácie o knihe

Autor

Dilip Singh Sisodia, Riya Singhal, Vijay Khandal

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2017

Stránok

EAN

9786202076494

Enbook ID

18766943

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

155

Rozmery

150 x 220 x 6

Kompletný popis

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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Web User Access Behavior Analysis & Prediction

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

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