This paper presents an approach on mining most specific workflow models from event-based data. The approach is embedded in
the context of data mining and knowledge discovery in databases. It consists of two parts. The first one is an introduction
of a block-structured workflow model representation and the second one is an extraction procedure for workflow models based
on that model representation. This paper describes both parts in detail and also outlines preceding and subsequent steps.