Introduction to Process Mining — Professional Development Continuing Education Course
ASA
This course is aimed at introducing the basis of Process Mining:
from process event logs, Process Mining discovers the true underlying
process generating the data. The resulting process model may then either be compared to a pre-existing theoretical model through conformance
checking, or evaluated on its own with multiple metrics regarding
fitness to data and model complexity, allowing for its in-depth analysis
and optimization.
After explaining the terminology pertaining to processes and event logs,
the course will first teach basic sequence analysis, Process Maps and
Petri Net representations. It will then move on to Process Discovery
with the explanation of the Heuristics Miner algorithm, followed by multiple
process model evaluation metrics. All notions will be illustrated via
a practical session with the R language.
Basic knowledge of Lagrange multipliers, Mathematical Logic and Information
Theory is needed to follow this course. In terms of programming
skills, a good grasp of the R language is required.
Instructor(s): Yoann Valero, Université de Technologie de Troyes / Livejourney; Frédéric Bertrand, Troyes Technology University
