Process mining workshops: ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers
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| Format: | Tagungsbericht Buch |
| Sprache: | English |
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Cham
Springer
[2021]
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| Schriftenreihe: | Lecture Notes in Business Information Processing
406 |
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| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 400 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030726928 |
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Datensatz im Suchindex
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| adam_text | Contents 1st International Workshop on Event Data and Behavioral Analytics (EDBA) Visually Representing History Dependencies in Event Logs.............................. Manuel Wetzel, Agnes Koschmider, and Thomas Wilke 5 Analysis of Business Process Batching Using Causal Event Models............... Philipp Waibel, Christian Novak, Saimir Bala, Kate Revoredo, and Jan Mendling 17 Process “Prospecting” to Improve Renewable Energy Interconnection Queues: A Case Study.............................................................................................. Gerry Murphy 30 Automated Discovery of Process Models with True Concurrency and Inclusive Choices.............................................................................................. Adriano Augusto, Marlon Dumas, and Marcello La Rosa 43 A Novel Approach to Discover Switch Behaviours in Process Mining............ Yang Lu, Qifan Chen, and Simon Poon 57 Process Model Discovery fromSensor Event Data.............................................. Dominik Janssen, Felix Mannhardt, Agnes Koschmider, and Sebastiaan J. van Zeist 69 Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study................................................................................................. Greg Van Houdt, Benoît Depaire, and Niels Martin 82 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach................................................................... Fadi Baskharon, Ahmed Awad, and
Chiara Di Francescomarino Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring................................................................................................... An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, and Bjoem Eskofier 99 112
xii Contents A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring.......................................................................... Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, and Domenico Polena 124 An Alignment Cost-Based Classification of Log Traces Using Machine-Learning......................................................................................... Mathilde Boltenhagen, Benjamin Chetioui, and Laurine Huber 136 Improving the Extraction of Process Annotations from Text with Inter-sentence Analysis.................................................................................... Luis Quishpi, Josep Carmona, and Lluís Padró 149 Case2vec: Advances in Representation Learning for Business Processes.......... Stefan Luettgen, Alexander Seeliger, Timo Nolle, and Max Mühlhäuser Supervised Conformance Checking Using Recurrent Neural Network Classifiers................................................................................................... Jari Peeperkom, Seppe vanden Broucke, and Jochen De Weerdt 162 175 1st International Workshop on Streaming Analytics for Process Mining (SA4PM’20) Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events......................................................................................... Jonghyeon Ko and Marco Comuzzi Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation................................................................................................... Ludwig Zellner, Florian Richter,
Janina Sontheim, Andrea Maldonado, and Thomas Seidl OTOSO: Online Trace Orderingfor Structural Overviews.................................. Florian Richter, Andrea Maldonado, Ludwig Zellner, and Thomas Seidl Performance Skyline: Inferring Process Performance Models from Interval Events................................................................................................. Andrea Maldonado, Janina Sontheim, Florian Richter, and Thomas Seidl 193 206 218 230 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020) Alignment Approximation for Process Trees......................................................... Daniel Schuster, Sebastiaan van Zeist, and Wil M. P. van der Aalst 247
Contents Stochastic Process Discovery by Weight Estimation............................................ xiii 260 Adam Burke, Sander J. J. Leemans, and Мое Thandar Wynn Graph-Based Process Mining.................................................................................. 273 Amin Jalali 3rd 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................................ Erica Tavazzi, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet 291 Process Mining of Disease Trajectories in МІМІС-Ш: A Case Study............... 305 Guntur Kusuma, Angelina Kumiati, Ciarán D. Mclnemey, Marlous Hall, Chris P. Gale, and Owen Johnson The Need for Interactive Data-Driven Process Simulation in Healthcare; A Case Study............................................................................................................. Gerhardus van Hulzen, Niels Martin, and Benoît Depaire Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments)....................................................................................... Angelina Prima Kumiati, Geoff Hall, David Hogg, and Owen Johnson Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare......................................................................................... Emmanuel Helm, Oliver Krauss, Anna Lin, Andreas
Pointner, Andreas Schuler, and Josef Kiing Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data..................................................................... Jungem Lim, Kidong Kim, Minsu Cho, Hyunyoung Ваек, Seok Kim, Нее Hwang, Sooyoung Yoo, and Minseok Song Exploration with Process Mining on How Temperature Change Affects Hospital Emergency Departments.......................................................................... Juan José Lull, Onur Doğan, Angeles Celda, Jesus Mandingorra, Lenin Lemus, Miguel Angel Mateo Pia, Javier F. Urchueguia, Gema Ibanez-Sanchez, Vicente Traver, and Carlos Femandez-Llatas 317 330 343 356 368
XIV Contents 1st International Workshop on Trust and Privacy in Process Analytics (TPPA) Towards Quantifying Privacy in Process Mining.................................................. Majid Rafiei and Wil M, P. van der Aalst 385 Author Index........................................................................................................... 399
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| adam_txt |
Contents 1st International Workshop on Event Data and Behavioral Analytics (EDBA) Visually Representing History Dependencies in Event Logs. Manuel Wetzel, Agnes Koschmider, and Thomas Wilke 5 Analysis of Business Process Batching Using Causal Event Models. Philipp Waibel, Christian Novak, Saimir Bala, Kate Revoredo, and Jan Mendling 17 Process “Prospecting” to Improve Renewable Energy Interconnection Queues: A Case Study. Gerry Murphy 30 Automated Discovery of Process Models with True Concurrency and Inclusive Choices. Adriano Augusto, Marlon Dumas, and Marcello La Rosa 43 A Novel Approach to Discover Switch Behaviours in Process Mining. Yang Lu, Qifan Chen, and Simon Poon 57 Process Model Discovery fromSensor Event Data. Dominik Janssen, Felix Mannhardt, Agnes Koschmider, and Sebastiaan J. van Zeist 69 Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study. Greg Van Houdt, Benoît Depaire, and Niels Martin 82 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach. Fadi Baskharon, Ahmed Awad, and
Chiara Di Francescomarino Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, and Bjoem Eskofier 99 112
xii Contents A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring. Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, and Domenico Polena 124 An Alignment Cost-Based Classification of Log Traces Using Machine-Learning. Mathilde Boltenhagen, Benjamin Chetioui, and Laurine Huber 136 Improving the Extraction of Process Annotations from Text with Inter-sentence Analysis. Luis Quishpi, Josep Carmona, and Lluís Padró 149 Case2vec: Advances in Representation Learning for Business Processes. Stefan Luettgen, Alexander Seeliger, Timo Nolle, and Max Mühlhäuser Supervised Conformance Checking Using Recurrent Neural Network Classifiers. Jari Peeperkom, Seppe vanden Broucke, and Jochen De Weerdt 162 175 1st International Workshop on Streaming Analytics for Process Mining (SA4PM’20) Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. Jonghyeon Ko and Marco Comuzzi Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. Ludwig Zellner, Florian Richter,
Janina Sontheim, Andrea Maldonado, and Thomas Seidl OTOSO: Online Trace Orderingfor Structural Overviews. Florian Richter, Andrea Maldonado, Ludwig Zellner, and Thomas Seidl Performance Skyline: Inferring Process Performance Models from Interval Events. Andrea Maldonado, Janina Sontheim, Florian Richter, and Thomas Seidl 193 206 218 230 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020) Alignment Approximation for Process Trees. Daniel Schuster, Sebastiaan van Zeist, and Wil M. P. van der Aalst 247
Contents Stochastic Process Discovery by Weight Estimation. xiii 260 Adam Burke, Sander J. J. Leemans, and Мое Thandar Wynn Graph-Based Process Mining. 273 Amin Jalali 3rd 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. Erica Tavazzi, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet 291 Process Mining of Disease Trajectories in МІМІС-Ш: A Case Study. 305 Guntur Kusuma, Angelina Kumiati, Ciarán D. Mclnemey, Marlous Hall, Chris P. Gale, and Owen Johnson The Need for Interactive Data-Driven Process Simulation in Healthcare; A Case Study. Gerhardus van Hulzen, Niels Martin, and Benoît Depaire Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments). Angelina Prima Kumiati, Geoff Hall, David Hogg, and Owen Johnson Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare. Emmanuel Helm, Oliver Krauss, Anna Lin, Andreas
Pointner, Andreas Schuler, and Josef Kiing Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data. Jungem Lim, Kidong Kim, Minsu Cho, Hyunyoung Ваек, Seok Kim, Нее Hwang, Sooyoung Yoo, and Minseok Song Exploration with Process Mining on How Temperature Change Affects Hospital Emergency Departments. Juan José Lull, Onur Doğan, Angeles Celda, Jesus Mandingorra, Lenin Lemus, Miguel Angel Mateo Pia, Javier F. Urchueguia, Gema Ibanez-Sanchez, Vicente Traver, and Carlos Femandez-Llatas 317 330 343 356 368
XIV Contents 1st International Workshop on Trust and Privacy in Process Analytics (TPPA) Towards Quantifying Privacy in Process Mining. Majid Rafiei and Wil M, P. van der Aalst 385 Author Index. 399 |
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| spelling | ICPM International Workshops 2020 Online Verfasser (DE-588)123407026X aut Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers Sander Leemans, Henrik Leopold (eds.) Cham Springer [2021] XIV, 400 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture Notes in Business Information Processing 406 Data Mining and Knowledge Discovery Data mining Data Mining (DE-588)4428654-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2020 Online gnd-content Data Mining (DE-588)4428654-5 s DE-604 Leemans, Sander (DE-588)1234069377 edt Leopold, Henrik 1986- (DE-588)1036909654 edt Erscheint auch als Druck-Ausgabe 978-3-030-72694-2 Erscheint auch als Online-Ausgabe 978-3-030-72693-5 Lecture Notes in Business Information Processing 406 (DE-604)BV023204387 406 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=032699781&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers Lecture Notes in Business Information Processing Data Mining and Knowledge Discovery Data mining Data Mining (DE-588)4428654-5 gnd |
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| title | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers |
| title_auth | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers |
| title_exact_search | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers |
| title_exact_search_txtP | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers |
| title_full | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers Sander Leemans, Henrik Leopold (eds.) |
| title_fullStr | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers Sander Leemans, Henrik Leopold (eds.) |
| title_full_unstemmed | Process mining workshops ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers Sander Leemans, Henrik Leopold (eds.) |
| title_short | Process mining workshops |
| title_sort | process mining workshops icpm 2020 international workshops padua italy october 5 8 2020 revised selected papers |
| title_sub | ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, revised selected papers |
| topic | Data Mining and Knowledge Discovery Data mining Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Mining and Knowledge Discovery Data mining Data Mining Konferenzschrift 2020 Online |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032699781&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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