Provided by: Technische Universitat Munchen
Topic: Big Data
Date Added: Mar 2012
Process discovery - discovering a process model from example behavior recorded in an event log - is one of the most challenging tasks in process mining. Discovery approaches need to deal with competing quality criteria such as fitness, simplicity, precision, and generalization. Moreover, event logs may contain low frequent behavior and tend to be far from complete (i.e., typically only a fraction of the possible behavior is recorded). At the same time, models need to have formal semantics in order to reason about their quality.