Business Process Management Workshops
Springer International Publishing (Verlag)
978-3-031-25382-9 (ISBN)
This book constitutes revised papers from the International Workshops held at the 20th International Conference on Business Process Management, BPM 2022, in Münster, Germany, during September 11-15, 2022.
Papers from the following workshops are included:
· 6th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2022)
· 6th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2022)· 18th International Workshop on Business Process Intelligence (BPI 2022)
· 2nd International Workshop on Business Process Management and Routine Dynamics (BPM&RD 2022)· 14th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2022)
· 1st International Workshop on Data-Driven Business Process Optimization (BPO 2022)
· 10th International Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H 2022)
· 1st International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2022)
Each of the eight workshops focused on particular aspects of business process management. Overall, after a thorough review process, there were 23 full and 3 short papers selected from a total of 51 submissions. Only one of the short papers is included in the proceedings.
6th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2022).- Constraints for Process Framing in AI-Augmented BPM.- Transformer Models for Activity Mining in Knowledge-Intensive Processes.- Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes.- The Label Ambiguity Problem in Process Prediction.- 6th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2022).- Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs.- Method to Identify Process Activities by Visualizing Sensor Events.- A Holistic Framework for IoT-Aware Business Processes.- vAMoS: eVent Abstraction via Motifs Search.- 18th International Workshop on Business Process Intelligence (BPI 2022).- Mining for Long-Term Dependencies in Causal Graphs.- What Can Database Query Processing Do for Instance-Spanning Constraints?.- 2nd International Workshop on Business Process Management and Routine Dynamics (BPM&RD 2022).- Effects of Concurrency in Complex Service Organizations: Evidence from Electronic Health Records.- 14th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2022).- PYP4Training - Ludifying Business Process Training.- On Current Job Market Demands for Process Mining: A Descriptive Analysis of LinkedIn Vacancies.- 1st International Workshop on Data-Driven Business Process Optimization (BPO 2022).- Process Mining Meets Optimization: the Case of the Workshifts Scheduling in Healthcare.- Combining Process Mining and Optimization: A Scheduling Application in Healthcare.- Defining Process Performance Measures in an Object-Centric Context.- 10th International Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H 2022).- Design-Time Support for Fragment-Based Case Management.- Process Mining meets Statistical Model Checking: Towards a Novel Approach to Model Validation and Enhancement.- A Systematic Comparison of Case Management Languages.- Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study.- Improving Declarative Process Mining with A Priori Noise Filtering.- 1st International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2022).- Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings.- PET: An Annotated Dataset for Process Extraction from Natural Language Text Tasks.- Supporting Event Log Extraction Based on Matching.
Erscheinungsdatum | 15.02.2023 |
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Reihe/Serie | Lecture Notes in Business Information Processing |
Zusatzinfo | IX, 336 p. 134 illus., 81 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 534 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Wirtschaft ► Betriebswirtschaft / Management | |
Schlagworte | Business Intelligence • business process management • business process modeling • business process monitoring • Business Process Optimization • internet of things • Natural Language Processing • Process Automation • Process Mining |
ISBN-10 | 3-031-25382-5 / 3031253825 |
ISBN-13 | 978-3-031-25382-9 / 9783031253829 |
Zustand | Neuware |
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