Abstract
Process mining emerged in the field of business process management BPM as an innovative technique to exploit the large amount of data recorded by information systems in the form of event logs. It allows to discover not only relations and structure in data but also control flow, and produces a process model, which can then be visualised as a process map. In addition to discovery, process mining supports conformance analysis, a technique to compare an a priori model with the event logs to detect deviations and inconsistencies. In this paper we go beyond the domain of BPM and illustrate how process mining and conformance analysis can be used in a number of contexts, in and across the areas of human-computer interaction and learning.
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