Website Clickstream Data Visualization Using Improved Markov Chain Modelling In Apache Flume

Website Clickstream Data Visualization Using Improved Markov Chain Modelling In Apache Flume

Clickstream data analysis is considered as the process of collecting, analysing and reporting the aggregate data about the web pages a visitor clicks. Visualizing the clickstream data has gained significant importance in many applications like web marketing, customer prediction, product management,...

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Bibliographic Details
Main Author: Frhan Amjad Jumaah
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Subjects:
Clickstream data
VizClick
WebClickviz
Apache Flume
Markov chain
Kolmogorov-Smirnov distance
Online Access:https://doi.org/10.1051/matecconf/201712504025

Internet

https://doi.org/10.1051/matecconf/201712504025

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