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Research Track I: Foundations
Efficient Optimal Alignment between Dynamic Condition Response Graphs and Traces
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models
Event Abstraction for Partial Order Patterns
Incremental Discovery of Process Models Using Trace Fragments
Approximating Multi-Perspective Trace Alignment Using Trace Encoding
POWL: Partially Ordered Workflow Language
Polynomial-Time Conformance Checking for Process Trees
Research Track II: Engineering
Investigating the Influence of Data-aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve
yLoPro: Profiling the Dynamics of Event Logs
Does This Make Sense? Machine Learning-based Detection of Semantic Anomalies in Business Processes
Inferring Missing Entity Identifiers from Context using Event Knowledge Graphs
Process Channels: A New Layer for Process Enactment Based on Blockchain State Channels
Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems
Context-Based Activity Label-Splitting
Verifying Resource Compliance Requirements From Natural Language Text Over Event Logs
From Text to Performance Measurement: Automatically Computing Process Performance using Textual Descriptions and Event Logs
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data
Interactive Multi-Interest Process Pattern Discovery
Research Track III: Management
Increasing RPA adoption: An experiment on countermeasures for status quo bias
Stochastic-Aware Comparative Process Mining in Healthcare
On the Cognitive Effects of Abstraction and Fragmentation in Modularized Process Models.-Not Here, But There: Human Resource Allocation Patterns
A Novel Multi-Perspective Trace Clustering Technique for IoT-enhanced Processes: A Case Study in Smart Manufacturing
The Impact of Process Complexity on Process Performance: A Study using Event Log Data
Deviation from Standards and Performance in Knowledge-Intensive Processes: Evidence from the Process of Selling Customized IT Solutions
Benevolent Business Processes - Design Guidelines Beyond Transactional Value
PEM4PPM: A Cognitive Perspective on the Process of Process Mining.

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