During my research, I developed multiple methods to gain knowledge from business process event data:
Process Discovery
ProSeqo + ProSimple
Discover process behavior from data mining on sequential data such as process logs.
Event Sequence Prediction
ConSequence
Learn classification and event sequence prediction rules for event sequence datasets such as process logs.
Queue Mining
CueMin
Discover discrete event simulations based on waiting queue models from event logs.
Constraint Acquisition
UrPiLs
Discover constraints for assignment problems and AI planning from example solutions.
Also check out my Python library and webapp on Theory of Constraints:
Gitub Repository: Thinking Processes
A Python diagram-as-code library for analyzing and solving problems.
Webapp: Thinking Processes
A webapp for analyzing and solving problems using diagrams from the Thinking Processes (Theory of Constraints) methodology.