Könyv 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

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
17 187 Ft
The analysis of Web users browsing behaviors is essential for putting appropriate information on the...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2017
oldal
92
EAN
9786202076494
Enbook ID
18766943
Súly
155
Méretek
150 x 220 x 6

Teljes leírás

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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