Business Process Management Workshops

<p>Fourteenth International Workshop on Business Process Intelligence (BPI).- Clustering Business Process Activities for Identifying Reference Model Components.- Multi-Instance Mining: Discovering Synchronisation in Artifact-Centric Processes.- Improving merging conditions for recomposing conformance checking.- Efficiently Computing Alignments.- Understanding automated feedback in learning processes by mining local patterns.- Eleventh Workshop on Social and Human Aspects of Business Process Management (BPMS2).- Social Technology Affordances for Business Process Improvement.- Social Business Process Management (SBPM) Critical Success Factors (CSF).- Enabling Co-Creation in Product Design Processes using 3D-Printing Processes.- Evaluation of WfMC Awards for Case Management: Features, Knowledge Workers, Systems.- Investigating the trade-off between the effectiveness and efficiency of process modeling.- The Repercussions of Business Process Modeling Notations on Mental Load and Mental Effort.- First International Workshop on Process-Oriented Data Science for Healthcare (PODS4H).- Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process.- Tailored Process Feedback through Process Mining for Surgical Procedures in Medical Training: the Central Venous Catheter case.- An Application of Process Mining in the Context of Melanoma Surveillance using Time Boxing.- Characterization of drug use patterns using process mining and temporal abstraction digital phenotyping.- Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland.- Analyzing Medical Emergency Processes with Process Mining: The Stroke Case.- Using indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges.- The ClearPath Method for Care Pathway Process Mining and Simulation.- Analysis of Emergency Room Episodes Duration through Process Mining.- First International Workshop on Artificial Intelligence for Business Process Management (AI4BPM).- Enhancing Process Data in Manual Assembly Workflows.- Modeling Uncertainty in Declarative Artifact-Centric Process Models.- Extracting workflows from natural language documents: A first step.- DCR Event-reachability via Genetic Algorithms.- Classifying Process Instances Using Recurrent Neural Networks.- Leveraging Regression Algorithms for Predicting Process Performance using Goal Alignments.- First International Workshop on Emerging Computing Paradigms and Context in Business Process Management (CCBPM).- </p>

Improved Particle Swarm Optimization based Workflow Scheduling in Cloud-fog Environment.- An Efficient Algorithm for Runtime Minimum Cost Data Storage and Regeneration for Business Process Management in Multiple Clouds.- A Lean Architecture for Blockchain Based Decentralized Process Execution.- Mining Product Relationships for Recommendation Based on Cloud Service Data.- SmartCrowd: A Workow Framework for Complex Crowdsourcing Tasks.-&nbsp;Third International Workshop on Process Querying (PQ 2018).- Checking Business Process Models for Compliance - Comparing Graph Matching and Temporal Logic.- From Complexity to Insight: Querying Large Business Process Models to Improve Quality.- Second International Workshop on BP-meet-IoT (BP-meet-IoT 2018).- Retrofitting of Workflow Management Systems with Self-X Capabilities for Internet of Things.- On the Contextualization of Event-Activity Mappings.- A Classification Framework for IoT Scenarios.- First Declarative/Decision/Hybrid Mining and Modelling for Business Processes (DeHMiMoP).- Evaluating The Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights.- A Framework to Evaluate and Compare Decision-Mining Techniques.- Compliance Checking for Decision-Aware Process Models.- Towards Automated Process Modeling based on BPMN Diagram Composition.- Measuring the Complexity of DMN Decision Models.- Joint Requirements Engineering and Business Process Management Workshop / Education Forum (REBPM / EdForum).- Process Weakness Patterns for the Identification of Digitalization Potentials in Business Processes.- From requirements to data analytics process: An ontology-based approach.<p></p>

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