1st International Workshop on Event Data and Behavioral Analytics (EDBA) -- Visually Representing History Dependencies in Event Logs -- Analysis of Business Process Batching using Causal Event Models -- Process Procespecting to Improve Renewable Energy Interconnection Queues: A Case Study -- Automated Discovery of Process Models with True Concurrency and Inclusive Choices -- A Novel Approach to Discover Switch Behaviours in Process Mining -- Process Model Discovery from Sensor Event Data -- Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study -- 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) -- Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-based Approach -- Time Matters:Time-Aware LSTMs for Predictive Business Process Monitoring -- A preliminary study on the application of Reinforcement Learning for Predictive Process Monitoring -- An Alignment Cost-Based Classi cation of Log Traces Using Machine-Learning -- Improving the Extraction of Process Annotations from Text with Inter-Sentence Analysis -- Case2vec: Advances in Representation Learning for Business Processes -- Supervised Conformance Checking using Recurrent Neural Network Classifiers -- 1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20) -- Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events -- Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation -- OTOSO: Online Trace Ordering for Structural Overviews -- Performance Skyline: Inferring Process Performance Models from Interval Events -- 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020) -- Alignment Approximation for Process Trees -- Stochastic Process Discovery By Weight Estimation -- Graph-based Process Mining -- Third International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) -- A Process Mining approach to statistical analysis: application to a real-world advanced melanoma dataset -- Process Mining of Disease Trajectories in MIMIC-III: A Case Study -- The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study -- Process mining on the extended event log to analyse the system usage during healthcare processes (Case study: the GP Tab usage during chemotherapy treatments) -- Process Mining on FHIR - An Open Standards-Based Process Analytics Suite for Healthcare -- Deriving a sophisticated clinical pathway based on patient conditions from electronic health record data -- Exploration on How Global Warming Affects Emergency Services -- 1st Workshop on Trust and Privacy in Process Analytics (TPPA) -- Towards Quantifying Privacy in Process Mining.