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2019
- Model Repair by Incorporating Negative Instances In Process Enhancement
- History-Aware Process Monitoring
- Distinguishing Undesired and Desired Infrequent Behavior in Process Mining
- Integration of MongoDB in PM4Py for Preprocessing Event Data and Discover Process Models
- Big Data Process Mining in Python - Integration of Spark in PM4Py for Preprocessing Event Data and Discover Process Models
- Improved Alignment Repair
- Implementation of a Scalable Interactive Event Data Visualization in Python
- You Are Here:Complex Event Processing on MongoDB
- An Inductive Miner Implementation for the PM4Py Framework
- Improving State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures
- Localized Conformance and Performance Analysis based on Event Data: Diagnosing Individual Places