| Description |
1 online resource (405 pages) |
| Series |
Lecture notes in business information processing ; 406 |
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Lecture notes in business information processing ; 406.
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| Contents |
Intro -- Preface -- Organization -- Contents -- 1st International Workshop on Event Data and Behavioral Analytics (EDBA) -- First International Workshop on Event Data and Behavioral Analytics (EdbA'20) -- Organization -- Workshop Chairs -- Program Committee -- Visually Representing History Dependencies in Event Logs -- 1 Introduction -- 2 Related Work -- 3 Visualization Techniques -- 3.1 Visualization Directly-Follows Graph -- 3.2 Visualization Additional Rectangle -- 3.3 Visualization Additional Arc -- 4 Design Setting -- 5 Evaluation Results -- 6 Discussion |
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7 Implementation as ProM Plugin -- 8 Summary and Outlook -- A Rigorous Definitions -- References -- Analysis of Business Process Batching Using Causal Event Models -- 1 Introduction -- 2 Motivational Scenario -- 3 Related Work -- 4 Batch Analysis Based on Causal Event Models -- 4.1 Determine Causal Event Models for Event Log -- 4.2 Batching Analysis -- 4.3 Implementation -- 5 Results and Evaluation -- 5.1 Setup and Dataset -- 5.2 Visualization of the Results -- 5.3 Data Analyses -- 5.4 Discussion -- 6 Conclusion -- References |
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Process "Prospecting" to Improve Renewable Energy Interconnection Queues: A Case Study -- 1 Background -- 2 Methodology -- 2.1 Gather DEC Regulatory Filing Data and Convert It into MS Excel Format -- 2.2 Assess Process Performance and Generate an Event Log CSV File -- 2.3 Conduct Petri Net Behavior and Event Log Conformance Analysis -- 2.4 Conduct Event Log Visualization and Directly Follows Graph Analysis -- 2.5 Analyze Key Date Behavior of Project Developers (Installers) -- 3 Results -- 3.1 Assess Process Performance -- 3.2 Petri Net Behavioral Analysis -- 3.3 Conformance Analysis |
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3.4 Event Log Visualizations -- 3.5 Directly Follows Graph -- 3.6 Key Date Behavioral Analysis: Solar Project Developers -- 4 Discussion -- 4.1 Petri Net Behavioral Analysis -- 4.2 Conformance and Event Log Analysis -- 4.3 Key Date Behavioral Analysis -- 4.4 Approach Viability -- 5 Conclusions -- References -- Automated Discovery of Process Models with True Concurrency and Inclusive Choices -- 1 Introduction -- 2 Background and Related Work -- 3 Approach -- 3.1 Refined Directly-Follows Graph Discovery -- 3.2 Refined Concurrency Discovery -- 3.3 Heuristic Improvement -- 4 Evaluation |
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4.1 Dataset and Setup -- 4.2 Results -- 5 Conclusion -- References -- A Novel Approach to Discover Switch Behaviours in Process Mining -- 1 Introduction -- 2 Background -- 3 Preliminaries -- 4 The Switch Process Tree -- 5 Discovering Switch Process Trees -- 5.1 The Switch Exclusive Choice Cut (Line 3) -- 5.2 Verifying the Exclusive Choice Switch Cut (Line 10-18) -- 5.3 Removing Incorrect Switch Behaviours -- 6 Evaluation -- 6.1 Evaluation Using Artificial Data -- 6.2 Evaluation Using Publically-Available Data -- 7 Discussion and Conclusion -- References |
| Summary |
This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops: 1st International Workshop on Event Data and Behavioral Analytics (EDBA) 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20) 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 1st International Workshop on Trust and Privacy in Process Analytics (TPPA) |
| Notes |
"While the conference was planned to take place in Padua, Italy this year, things turned out differently. Just like many other academic conferences, also ICPM had to be held online due to the COVID-19 pandemic."--Preface |
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Process Model Discovery from Sensor Event Data |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed April 20, 2021) |
| Subject |
Data mining -- Congresses
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Electronic data processing -- Congresses
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Data mining
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Electronic data processing
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Leemans, Sander
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Leopold, Henrik
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| ISBN |
9783030726935 |
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3030726932 |
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9783030726942 |
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3030726940 |
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