Process Mining Workshops

1. Front Matter

   Pages i-xiv

   PDF

2. 1st International Workshop on Event Data and Behavioral Analytics (EDBA)

   1. Front Matter

      Pages 1-3

      PDF

   2. Visually Representing History Dependencies in Event Logs

      • Manuel Wetzel, Agnes Koschmider, Thomas Wilke

      Pages 5-16

   3. Analysis of Business Process Batching Using Causal Event Models

      • Philipp Waibel, Christian Novak, Saimir Bala, Kate Revoredo, Jan Mendling

      Pages 17-29

   4. Process “Prospecting” to Improve Renewable Energy Interconnection Queues: A Case Study

      • Gerry Murphy

      Pages 30-42

   5. Automated Discovery of Process Models with True Concurrency and Inclusive Choices

      • Adriano Augusto, Marlon Dumas, Marcello La Rosa

      Pages 43-56

   6. A Novel Approach to Discover Switch Behaviours in Process Mining

      • Yang Lu, Qifan Chen, Simon Poon

      Pages 57-68

   7. Process Model Discovery from Sensor Event Data

      • Dominik Janssen, Felix Mannhardt, Agnes Koschmider, Sebastiaan J. van Zelst

      Pages 69-81

   8. Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study

      • Greg Van Houdt, Benoît Depaire, Niels Martin

      Pages 82-93

3. 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

   1. Front Matter

      Pages 95-98

      PDF

   2. Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach

      • Fadi Baskharon, Ahmed Awad, Chiara Di Francescomarino

      Pages 99-111

   3. Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring

      • An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern Eskofier

      Pages 112-123

   4. A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring

      • Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, Domenico Potena

      Pages 124-135

   5. An Alignment Cost-Based Classification of Log Traces Using Machine-Learning

      • Mathilde Boltenhagen, Benjamin Chetioui, Laurine Huber

      Pages 136-148

   6. Improving the Extraction of Process Annotations from Text with Inter-sentence Analysis

      • Luis Quishpi, Josep Carmona, Lluís Padró

      Pages 149-161

   7. Case2vec: Advances in Representation Learning for Business Processes

      • Stefan Luettgen, Alexander Seeliger, Timo Nolle, Max Mühlhäuser

      Pages 162-174

   8. Supervised Conformance Checking Using Recurrent Neural Network Classifiers

      • Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

      Pages 175-187

4. 1st International Workshop on Streaming Analytics for Process Mining (SA4PM’20)

   1. Front Matter

      Pages 189-192

      PDF

   2. Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events

      • Jonghyeon Ko, Marco Comuzzi

      Pages 193-205

   3. Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation

      • Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl

      Pages 206-217

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic.

The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops:

1st International Workshop on Event Data and Behavioral Analytics (EDBA)

1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)

5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)

3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)

1st International Workshop on Trust and Privacy in Process Analytics (TPPA)

 

• Process Mining
• Process Discovery
• Process Analytics
• Process Querying
• Conformance Checking
• Predictive Process Monitoring
• Data Science
• Event data
• streaming analytics
• machine learning
• decision support systems
• business process management
• information systems
• petri nets

• Queensland University of Technology, Brisbane, Australia

  Sander Leemans

• Kühne Logistics University, Hamburg, Germany

  Henrik Leopold

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