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ICPM Workshops 2020: Padua, Italy
- Sander J. J. Leemans

, Henrik Leopold
:
Process Mining Workshops - ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, Revised Selected Papers. Lecture Notes in Business Information Processing 406, Springer 2021, ISBN 978-3-030-72692-8
1st International Workshop on Event Data and Behavioral Analytics (EDBA)
- Manuel Wetzel, Agnes Koschmider, Thomas Wilke:

Visually Representing History Dependencies in Event Logs. 5-16 - Philipp Waibel

, Christian Novak
, Saimir Bala
, Kate Revoredo
, Jan Mendling
:
Analysis of Business Process Batching Using Causal Event Models. 17-29 - Gerry Murphy:

Process "Prospecting" to Improve Renewable Energy Interconnection Queues: A Case Study. 30-42 - Adriano Augusto, Marlon Dumas

, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. 43-56 - Yang Lu

, Qifan Chen
, Simon K. Poon
:
A Novel Approach to Discover Switch Behaviours in Process Mining. 57-68 - Dominik Janssen

, Felix Mannhardt
, Agnes Koschmider
, Sebastiaan J. van Zelst
:
Process Model Discovery from Sensor Event Data. 69-81 - Greg Van Houdt

, Benoît Depaire
, Niels Martin
:
Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study. 82-93
1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
- Fadi Baskharon, Ahmed Awad

, Chiara Di Francescomarino:
Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach. 99-111 - An Nguyen

, Srijeet Chatterjee, Sven Weinzierl
, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier
:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. 112-123 - Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, Domenico Potena:

A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring. 124-135 - Mathilde Boltenhagen, Benjamin Chetioui

, Laurine Huber:
An Alignment Cost-Based Classification of Log Traces Using Machine-Learning. 136-148 - Luis Quishpi, Josep Carmona, Lluís Padró:

Improving the Extraction of Process Annotations from Text with Inter-sentence Analysis. 149-161 - Stefan Luettgen

, Alexander Seeliger
, Timo Nolle
, Max Mühlhäuser
:
Case2vec: Advances in Representation Learning for Business Processes. 162-174 - Jari Peeperkorn

, Seppe vanden Broucke, Jochen De Weerdt
:
Supervised Conformance Checking Using Recurrent Neural Network Classifiers. 175-187
1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)
- Jonghyeon Ko

, Marco Comuzzi:
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. 193-205 - Ludwig Zellner

, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl:
Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. 206-217 - Florian Richter, Andrea Maldonado, Ludwig Zellner

, Thomas Seidl:
OTOSO: Online Trace Ordering for Structural Overviews. 218-229 - Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl:

Performance Skyline: Inferring Process Performance Models from Interval Events. 230-242
5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020)
- Daniel Schuster

, Sebastiaan J. van Zelst
, Wil M. P. van der Aalst
:
Alignment Approximation for Process Trees. 247-259 - Adam Burke

, Sander J. J. Leemans
, Moe Thandar Wynn
:
Stochastic Process Discovery by Weight Estimation. 260-272 - Amin Jalali

:
Graph-Based Process Mining. 273-285
3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)
- Erica Tavazzi

, Camille L. Gerard
, Olivier Michielin, Alexandre Wicky, Roberto Gatta
, Michel A. Cuendet
:
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset. 291-304 - Guntur P. Kusuma

, Angelina Kurniati
, Ciarán D. McInerney
, Marlous S. Hall
, Chris P. Gale
, Owen A. Johnson
:
Process Mining of Disease Trajectories in MIMIC-III: A Case Study. 305-316 - Gerhardus van Hulzen

, Niels Martin
, Benoît Depaire
:
The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study. 317-329 - Angelina Prima Kurniati

, Geoff Hall
, David C. Hogg
, Owen A. Johnson
:
Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments). 330-342 - Emmanuel Helm

, Oliver Krauss
, Anna M. Lin
, Andreas Pointner
, Andreas Schuler
, Josef Küng:
Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare. 343-355 - Jungeun Lim, Kidong Kim, Minsu Cho

, Hyunyoung Baek, Seok Kim, Hee Hwang, Sooyoung Yoo, Minseok Song:
Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data. 356-367 - Juan José Lull

, Onur Dogan
, Angeles Celda, Jesús Mandingorra
, Lenin Lemus
, Miguel Ángel Mateo Pla
, Javier F. Urchueguía
, Gema Ibáñez-Sánchez
, Vicente Traver
, Carlos Fernández-Llatas
:
Exploration with Process Mining on How Temperature Change Affects Hospital Emergency Departments. 368-379
1st International Workshop on Trust and Privacy in Process Analytics (TPPA)
- Majid Rafiei

, Wil M. P. van der Aalst
:
Towards Quantifying Privacy in Process Mining. 385-397

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