Achieving Business Process Intelligence through Process Mining -- State of the Art and Recent Research Advances

Professors:Fabrizio Maria Maggi (University of Tartu, Estonia), Andrea Marrella (Sapienza, University of Rome)
Credits:3
Range:B
Note:

Full description

The course will provide an introduction to the key analysis techniques in process mining that allow users to automatically learn process models from raw event logs (process discovery) and to check if reality, as recorded in the event logs, conforms to the models and vice versa (conformance checking).

In the context of process discovery and conformance checking, well-established techniques available in the literature will be presented, as well as more recent advances that are currently investigated in the process mining community, such as process mining with declarative specifications or BPMN. Other branches of the process mining field will also be presented like performance analysis, bottleneck detection, social network analysis.

In addition, the course will discuss how recent techniques from academic artificial intelligence research can be employed to advance the state-of-the art in process mining. Finally the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.

 

Further details can be found here.