Process mining workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers
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| Other Authors: | , , |
| Format: | Conference Proceeding Book |
| Language: | English |
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Cham
Springer
[2023]
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| Series: | Lecture notes in business information processing
468 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XI, 592 Seiten Illustrationen |
| ISBN: | 9783031278143 |
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Contents 3rd International Workshop on Event Data and Behavioral Analytics (EdbA’22) Do You Behave Always the Same? A Process Mining Approach . Gemma Di Federico and Andrea Burattiti 5 Enhancing Data-Awareness of Object-Centric Event Logs . Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, and Wil Μ. P. van der Aalst 18 Multi-perspective Identification of Event Groups for Event Abstraction. Adrian Rebmann, Peter Pfeiffer, Peter Fettke, and Han van der Aa 31 Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach . Azadeh Sadat Mozafari Mehr, Renata Μ. de Carvalho, and Boudewijn van Dongen 44 A Survey on the Application of Process Mining to Smart Spaces Data. Yannis Bertrand, Bram Van den Abbeele, Silvestro Veneruso, Francesco Leotta, Massimo Mecella, and Estefanía Serrai 57 Building User Journey Games from Multi-party Event Logs . Paul Kobiałka, Felix Mannhardt, Silvia Lizeth Tapia Tarifa, and Einar Broch Johnsen 71 Leveraging Event Data for Measuring Process Complexity . Maxim Vidgofand Jan Mendling 84 3rd Workshop on Responsible Process Mining (RPM’22) Discrimination-Aware Process Mining: A Discussion . Timo Pohl, Mahnaz Sadat Qafari, and Wil Μ. P. van der Aalst 101 TraVaS: Differentially Private Trace Variant Selection for Process Mining . Majid Rafiei, Frederik Wangelik, and Wil
Μ. P. van der Aalst 114
viii Contents BERMUDA: Participatory Mapping of Domain Activities to Event Data via System Interfaces . Vlad P. Cosma, Thomas T Hildebrandt, Christopher H. Gyldenkærne, and Tijs Slaats 127 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM’22) Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. Lisan Wolters and Marwan Hassani Uncovering Change: A Streaming Approach for Declarative Processes . Andrea Burattiti, Hugo A. López, and Lasse Starklit 145 158 3rd International Workshop in Leveraging Machine Learning for Process Mining (ML4PM’22) Deep Reinforcement Learning for Resource Allocation in Business Processes. Kamil Żbikowski, Michal Ostapowicz, and Piotr Gawrysiak 177 On the Potential of Textual Data for Explainable Predictive Process Monitoring . Christian Warmuth and Henrik Leopold 190 Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. Michael Grohs and Jana-Rebecca Rehse 203 Detecting Surprising Situations in Event Data
. Christian Kohlschmidt, Mahnaz Sadat Qafari, and Wil Μ. P. van der Aalst LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. Johannes Lahann, Peter Pfeiffer, and Peter Fettke Genetic Algorithms for AutoML in Process Predictive Monitoring. Nahyun Kwon and Marco Comuzzi Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs . Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, and Jochen De Weerdt 216 229 242 255
Contents Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs . Elio Ribeiro Faria Junior, Thais Rodrigues Neubauer, Marcelo Fantinato, and Sarajane Marques Peres ix 269 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H’22) Weighted Violations in Alignment-Based Conformance Checking . Joscha Grüger, Tobias Geyer, Martin Kuhn, Stephan A. Braun, and Ralph Bergmann 289 Event Log Generation in МШІС-ІѴ Research Paper . Jonas Cremerius, Luise Pufahl, Finn Klessascheck, and Mathias Weske 302 Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study: Case Study . Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil Μ. P. van der Aalst, Lukas Martin, and Gernot Marx SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation . Joscha Grüger, Tobias Geyer, David Jilg, and Ralph Bergmann Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt . Alistair Bullward, Abdulaziz Aljebreen, Alexander Coles, Ciarán McInerney, and Owen Johnson Discovering Break Behaviours in Process Mining:
An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome . Qifan Chen, Yang Lu, Charmaine S. Tam, and Simon K. Poon Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay - A Case Study . Annika L. Dubbeldam, István Ketykó, Renata M. de Carvalho, and Felix Mannhardt Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction . Jorg W. R. Bekelaar, Jolanda J. Luime, and Renata Μ. de Carvalho 315 328 341 354 366 378
x Contents Measuring the Impact of COVID-19 on Hospital Care Pathways . Christin Puthur, Abdulaziz Aljebreen, Ciaran McInerney, Teumzghi Mebrahtu, Tom Lawton, and Owen Johnson 391 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM’22) Deriving Event Logs from Legacy Software Systems . Marius Breitmayer, Lisa Arnold, Stephan La Rocca, and Manfred Reichert 409 Defining Data Quality Issues in Process Mining with loT Data . Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, and Estefanía Serrai 422 Creating Translucent Event Logs to Improve Process Discovery . Harry H. Beyel and Wil M. P van der Aalst 435 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI’22) SAP Signavio Academic Models: A Large Process Model Dataset. Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, and Timotheus Kampik A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction . Jing Xiong, Guohui Xiao, Tahir Emre Kalaycı, Marco Montali, Zhenzhen Gu, and Diego Calvanese Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs . Gy unam Park and Wil M. P. van der Aalst Aggregating Event Knowledge Graphs for Task
Analysis. Eva L. Klijn, Felix Mannhardt, and Dirk Fahland 453 466 479 493
Contents xi 1st International Workshop on Education Meets Process Mining (EduPM’22) A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education . Miriam Wagner. Hayyan Helal, Rene Roepke, Sven Judei, Jens Doveren, Sergej Goerzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, and Wil Μ. P. van der Aalst 513 Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach . Seppe Van Daele and Gert Janssenswillen 526 Discovering Students’ Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques . Narjes Rohani, Kobi Gal, Michael Gallagher, and Areti Manataki 539 Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions . Luciano Hidalgo and Jorge Munoz-Gama 552 Process Mining for Analyzing Open Questions Computer-Aided Examinations . Saimir Bala, Kate Revoredo, and Jan Mendling 565 Process Mining on Curriculum-Based Study Data: A Case Study at a German University. Richard Hobeck, Luise Pufahl, and Ingo Weber 577 Author
Index. 591 |
| adam_txt |
Contents 3rd International Workshop on Event Data and Behavioral Analytics (EdbA’22) Do You Behave Always the Same? A Process Mining Approach . Gemma Di Federico and Andrea Burattiti 5 Enhancing Data-Awareness of Object-Centric Event Logs . Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, and Wil Μ. P. van der Aalst 18 Multi-perspective Identification of Event Groups for Event Abstraction. Adrian Rebmann, Peter Pfeiffer, Peter Fettke, and Han van der Aa 31 Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach . Azadeh Sadat Mozafari Mehr, Renata Μ. de Carvalho, and Boudewijn van Dongen 44 A Survey on the Application of Process Mining to Smart Spaces Data. Yannis Bertrand, Bram Van den Abbeele, Silvestro Veneruso, Francesco Leotta, Massimo Mecella, and Estefanía Serrai 57 Building User Journey Games from Multi-party Event Logs . Paul Kobiałka, Felix Mannhardt, Silvia Lizeth Tapia Tarifa, and Einar Broch Johnsen 71 Leveraging Event Data for Measuring Process Complexity . Maxim Vidgofand Jan Mendling 84 3rd Workshop on Responsible Process Mining (RPM’22) Discrimination-Aware Process Mining: A Discussion . Timo Pohl, Mahnaz Sadat Qafari, and Wil Μ. P. van der Aalst 101 TraVaS: Differentially Private Trace Variant Selection for Process Mining . Majid Rafiei, Frederik Wangelik, and Wil
Μ. P. van der Aalst 114
viii Contents BERMUDA: Participatory Mapping of Domain Activities to Event Data via System Interfaces . Vlad P. Cosma, Thomas T Hildebrandt, Christopher H. Gyldenkærne, and Tijs Slaats 127 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM’22) Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. Lisan Wolters and Marwan Hassani Uncovering Change: A Streaming Approach for Declarative Processes . Andrea Burattiti, Hugo A. López, and Lasse Starklit 145 158 3rd International Workshop in Leveraging Machine Learning for Process Mining (ML4PM’22) Deep Reinforcement Learning for Resource Allocation in Business Processes. Kamil Żbikowski, Michal Ostapowicz, and Piotr Gawrysiak 177 On the Potential of Textual Data for Explainable Predictive Process Monitoring . Christian Warmuth and Henrik Leopold 190 Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. Michael Grohs and Jana-Rebecca Rehse 203 Detecting Surprising Situations in Event Data
. Christian Kohlschmidt, Mahnaz Sadat Qafari, and Wil Μ. P. van der Aalst LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. Johannes Lahann, Peter Pfeiffer, and Peter Fettke Genetic Algorithms for AutoML in Process Predictive Monitoring. Nahyun Kwon and Marco Comuzzi Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs . Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, and Jochen De Weerdt 216 229 242 255
Contents Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs . Elio Ribeiro Faria Junior, Thais Rodrigues Neubauer, Marcelo Fantinato, and Sarajane Marques Peres ix 269 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H’22) Weighted Violations in Alignment-Based Conformance Checking . Joscha Grüger, Tobias Geyer, Martin Kuhn, Stephan A. Braun, and Ralph Bergmann 289 Event Log Generation in МШІС-ІѴ Research Paper . Jonas Cremerius, Luise Pufahl, Finn Klessascheck, and Mathias Weske 302 Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study: Case Study . Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil Μ. P. van der Aalst, Lukas Martin, and Gernot Marx SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation . Joscha Grüger, Tobias Geyer, David Jilg, and Ralph Bergmann Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt . Alistair Bullward, Abdulaziz Aljebreen, Alexander Coles, Ciarán McInerney, and Owen Johnson Discovering Break Behaviours in Process Mining:
An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome . Qifan Chen, Yang Lu, Charmaine S. Tam, and Simon K. Poon Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay - A Case Study . Annika L. Dubbeldam, István Ketykó, Renata M. de Carvalho, and Felix Mannhardt Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction . Jorg W. R. Bekelaar, Jolanda J. Luime, and Renata Μ. de Carvalho 315 328 341 354 366 378
x Contents Measuring the Impact of COVID-19 on Hospital Care Pathways . Christin Puthur, Abdulaziz Aljebreen, Ciaran McInerney, Teumzghi Mebrahtu, Tom Lawton, and Owen Johnson 391 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM’22) Deriving Event Logs from Legacy Software Systems . Marius Breitmayer, Lisa Arnold, Stephan La Rocca, and Manfred Reichert 409 Defining Data Quality Issues in Process Mining with loT Data . Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, and Estefanía Serrai 422 Creating Translucent Event Logs to Improve Process Discovery . Harry H. Beyel and Wil M. P van der Aalst 435 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI’22) SAP Signavio Academic Models: A Large Process Model Dataset. Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, and Timotheus Kampik A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction . Jing Xiong, Guohui Xiao, Tahir Emre Kalaycı, Marco Montali, Zhenzhen Gu, and Diego Calvanese Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs . Gy unam Park and Wil M. P. van der Aalst Aggregating Event Knowledge Graphs for Task
Analysis. Eva L. Klijn, Felix Mannhardt, and Dirk Fahland 453 466 479 493
Contents xi 1st International Workshop on Education Meets Process Mining (EduPM’22) A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education . Miriam Wagner. Hayyan Helal, Rene Roepke, Sven Judei, Jens Doveren, Sergej Goerzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, and Wil Μ. P. van der Aalst 513 Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach . Seppe Van Daele and Gert Janssenswillen 526 Discovering Students’ Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques . Narjes Rohani, Kobi Gal, Michael Gallagher, and Areti Manataki 539 Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions . Luciano Hidalgo and Jorge Munoz-Gama 552 Process Mining for Analyzing Open Questions Computer-Aided Examinations . Saimir Bala, Kate Revoredo, and Jan Mendling 565 Process Mining on Curriculum-Based Study Data: A Case Study at a German University. Richard Hobeck, Luise Pufahl, and Ingo Weber 577 Author
Index. 591 |
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| series | Lecture notes in business information processing |
| series2 | Lecture notes in business information processing |
| spelling | International Conference on Process Mining 4. 2022 Bozen Verfasser (DE-588)128082431X aut Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers Marco Montali, Arik Senderovich, Matthias Weidlich (editors) Cham Springer [2023] XI, 592 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Lecture notes in business information processing 468 Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology-Management Machine learning Medical informatics Data Mining (DE-588)4428654-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2022 Bozen gnd-content Data Mining (DE-588)4428654-5 s DE-604 Montali, Marco ca. 20./21. Jh. (DE-588)1286962056 edt Senderovich, Arik edt Weidlich, Matthias (DE-588)1175471720 edt Erscheint auch als Online-Ausgabe 978-3-031-27815-0 Lecture notes in business information processing 468 (DE-604)BV023204387 468 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034176508&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers Lecture notes in business information processing Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology-Management Machine learning Medical informatics Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)1071861417 |
| title | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers |
| title_auth | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers |
| title_exact_search | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers |
| title_exact_search_txtP | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers |
| title_full | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers Marco Montali, Arik Senderovich, Matthias Weidlich (editors) |
| title_fullStr | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers Marco Montali, Arik Senderovich, Matthias Weidlich (editors) |
| title_full_unstemmed | Process mining workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers Marco Montali, Arik Senderovich, Matthias Weidlich (editors) |
| title_short | Process mining workshops |
| title_sort | process mining workshops icpm 2022 international workshops bozen bolzano italy october 23 28 2022 revised selected papers |
| title_sub | ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022 : revised selected papers |
| topic | Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology-Management Machine learning Medical informatics Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology-Management Machine learning Medical informatics Data Mining Konferenzschrift 2022 Bozen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034176508&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023204387 |
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