Predicting the next click with Web log Process Mining

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.