Process mining and is concerned with the mining of high-dimensional temporal data originating from known or unknown processes. Usually, data of events from these underlying processes is recorded in so called event logs. Each entry in such an event log possesses a variety of attributes as well as a time stamp. The aim of process mining is to extract process models from the sequence of events belonging to one entity (object). Common examples of such processes can be found everywhere in the real world and include a number of domains, such as medical processes mining, shopping events, of the analysis of work histories of thousands of individuals.