Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces (Oct-2017)

Aim:

The main aim of this project is to find the changes (drifts) in our business activities with the help of the execution traces.

Proposed system:

In proposed System, automated and statistically grounded method for detecting sudden and gradual business process drifts under a unified framework. An evaluation over synthetic logs showed that the method accurately discovers typical process changes and nested compositions thereof, outperforming state-of-the art baselines both for sudden and gradual drifts. A separate evaluation on a large real-life log demonstrated the method’s ability to detect drifts that correspond to user-recognizable process changes, as well as its scalability.