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Predicting the next click with Web log Process Mining

Mukhiya, Suresh Kumar
Master thesis
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URI
http://hdl.handle.net/11250/2411539
Date
2016
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  • Institutt for datateknologi og informatikk [3798]
Abstract
Process mining allows for extraction of visual models describing general sequence patterns from event log data. This analysis technique is most commonly applied in business process analytics settings comparing expected and actual process execution. In this thesis work we will examine how process mining can be applied on click logs from media sites and reveal contents relationships and readers behavioural characteristics.
Publisher
NTNU

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