Business Process Management Workshops: BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers (2018)

Introduction to the 1st International Workshop on Business Process Innovation with Artificial Intelligence (BPAI 2017).- What Automated Planning can do for Business Process Management.- Structural Feature Selection for Event Logs.- Towards Intelligent Process Support for Customer Service Desks: Extracting Problem Descriptions from Noisy and Multi-Lingual Texts.- Towards an Entropy-Based Analysis of Log Variability.- Objective Coordination with Business Artifacts and Social Engagements.- Enhancing Workflow-nets with Data for Trace Completion.- Optimal Paths in Business Processes: Framework and Applications.- An Agent-based Model of a Business Process: The Use Case of a Hospital Emergency Department.- Constraint-Based Composition of Business Process Models.- Semantically-Oriented Business Process Visualization for a Data and Constraint-Based Workflow Approach.- Abduction for Generating Synthetic Traces.- Introduction to the 13^th International Workshop on Business Process Intelligence (BPI 2017).- A Framework for Online Conformance Checking.- Recurrent Process Mining with Live Event Data.- Reducing Event Variability in Logs by Clustering of Word Embeddings.- Automatic Root Cause Identification Using Most Probable Alignments.- Improving Process Discovery Results by Filtering Outliers using Conditional Behavioural Probabilities.- Can We Find Better Process Models? Process Model Improvement using Motif-based Graph Adaptation.- Dropout Prediction in MOOCs: A Comparison between Process and Sequence Mining.- Process Mining and the Black Swan: An Empirical Analysis of the Influence of Unobserved Behavior on the Quality of Mined Process Models.- Introduction to the 1st International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2017).- Technology-Enhanced Process Elicitation of Worker Activities in Manufacturing.- Discovering Process Models of Activities of Daily Living from Sensors.- A Habit is a Process: A BPM-based Approach for Smart Spaces.- From BPM to IoT.- Introduction to the BPMS2 Workshop 2017.- Lightweight Process Support with Spreadsheet-Driven Processes: A Case Study in the Finance Domain.- Using CMMN to Model Social Processes.- Speech Acts in Actual Processes: Evaluation of Interfaces and Triggers in ITIL.- SLA-based Management of Human-based Services in Business Processes for Socio-Technical Systems.- Using Smart Edge Devices to Integrate Consumers into Digitized Processes: The Case of Amazon Dash-Button.- Towards a Solution Space for BPM Issues based on Debiasing Techniques.- A Framework for Improving User Engagement in Social BPM.- A Systematic Literature Review of the Use of Social Media for Business Process Management.- Introduction to the 1st International Workshop on Cognitive Business Process Management (CBPM'17).- Cognitive Computing: What's in for Business Process Management? An Exploration of Use Case Ideas.- Cognitive Business Process Management for Adaptive Cyber-Physical Processes.- BPM for the Masses: Empowering Participants of Cognitive Business Processes.- Using Insights from Cognitive Neuroscience to Investigate the Effects of Event-Driven Process Chains on Process Model Comprehension.- Knowledge-intensive Process: A Research Framework.- Introduction to the Workshop on Cross-cutting Aspects of Business Process Management.- Towards a Taxonomy of Human Resource Allocation Criteria.- E-government Services: Comparing Real and Expected User Behavior.- Establishing Transparent Interorganizational Relationships through Shared Goals for Anti-corruption in Brazil.- Towards Guidelines of Modeling for Ecology-aware Process Design.- Sustainability Performance Measurement: A Preliminary Classification Framework of Models and Indicators.- Introduction to the 5th International Workshop on Declarative/Decision/Hybrid Mining & Modeling for Business Processes (DeHMiMoP'17).- Challenges in Refactoring Processes to Include Decision Modelling.- Data-Centric Extraction of DMN Decision Models f