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Format: 1 Online-Ressource (XII, 264 p. 64 illus., 33 illus. in color).

Edition: 1st ed. 2023

ISBN: 978-3-031-43433-4

Series Statement: Lecture Notes in Business Information Processing 491

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43432-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43434-1

Language: English

Subjects: Economics

Keywords: Blockchain ; Robotic Process Automation ; Prozessmanagement ; Konferenzschrift

DOI: 10.1007/978-3-031-43433-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource

ISBN: 9783030985813

Series Statement: Lecture notes in business information processing 433

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-030-98580-6

Language: English

Subjects: Computer Science , Economics

Keywords: Data Mining ; Konferenzschrift

DOI: 10.1007/978-3-030-98581-3

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

UID:

Format: 1 Online-Ressource (XII, 264 p. 64 illus., 33 illus. in color).

Edition: 1st ed. 2023

ISBN: 978-3-031-43433-4

Series Statement: Lecture Notes in Business Information Processing 491

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43432-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43434-1

Language: English

Subjects: Economics

Keywords: Blockchain ; Robotic Process Automation ; Prozessmanagement ; Konferenzschrift

DOI: 10.1007/978-3-031-43433-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (xiv, 410 pages) : , illustrations (chiefly color).

Edition: 1st ed. 2022.

ISBN: 3-030-98581-4

Series Statement: Lecture Notes in Business Information Processing, 433

Content: This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. 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 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included.

Note: Includes author index. , Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- Probability Estimation of Uncertain Process Trace Realizations -- Visualizing Trace Variants From Partially Ordered Event Data -- Analyzing Multi-level BOM-structured Event Data -- Linac: A Smart Environment Simulator of Human Activities -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- xPM: A Framework for Process Mining with Exogenous Data -- A Bridging Model for Process Mining and IoT -- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction -- Can deep neural networks learn process modelstructure? An assessment framework and analysis -- Remaining Time Prediction for Processes with Inter-Case Dynamics -- Event Log Sampling for Predictive Monitoring -- Active Anomaly Detection for Key Item Selection in Process Auditing -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- Online Prediction of Aggregated Retailer Consumer Behaviour -- PErrCas: Process Error Cascade Mining in Trace Streams -- Continuous performance evaluation for business process outcome monitoring -- An Event Data Extraction Approach from SAP ERP for Process Mining -- Towards a Natural Language Conversational Interface for Process Mining -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study -- Patient Discharge Classification based on the Hospital Treatment Process -- Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes -- Interactive Process Mining Applied in a Cardiology Outpatient Department -- Discovering care pathways for multi-morbid patients using event graphs -- Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis -- Quantifying the Re-identification Risk in Published Process Models -- Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. , English

Additional Edition: ISBN 3-030-98580-6

Language: English

DOI: 10.1007/978-3-030-98581-3

UID:

Format: 1 Online-Ressource (XII, 131 p. 59 illus., 47 illus. in color)

Edition: 1st ed. 2024

ISBN: 9783031543036

Series Statement: Communications in Computer and Information Science 2020

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-54302-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-54304-3

Language: English

DOI: 10.1007/978-3-031-54303-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XII, 264 p. 64 illus., 33 illus. in color)

Edition: 1st ed. 2023

ISBN: 9783031434334

Series Statement: Lecture Notes in Business Information Processing 491

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43432-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-43434-1

Language: English

Subjects: Economics

Keywords: Blockchain ; Robotic Process Automation ; Prozessmanagement ; Konferenzschrift

DOI: 10.1007/978-3-031-43433-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (419 pages)

ISBN: 9783030985813

Series Statement: Lecture Notes in Business Information Processing Ser. ; v.433

Note: Intro -- Preface -- Organization -- Contents -- XES 2.0 Workshop and Survey -- Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- 1 Introduction -- 2 XES Standard: A Brief Overview -- 3 Survey Design and Insights -- 4 Adding Context: Reflections from the XES 2.0 Workshop -- 5 Conclusion -- References -- EdbA 2021: 2nd International Workshop on Event Data and Behavioral Analytics -- Second International Workshop on Event Data and Behavioral Analytics (EdbA'21) -- Organization -- Workshop Chairs -- Program Committee -- Probability Estimation of Uncertain Process Trace Realizations -- 1 Introduction -- 2 Related Work -- 3 Running Example -- 4 Preliminaries -- 5 Method -- 6 Validation of Probability Estimates -- 7 Conclusion -- References -- Visualizing Trace Variants from Partially Ordered Event Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Visualizing Trace Variants -- 4.1 Approach -- 4.2 Formal Guarantees -- 4.3 Limitations -- 4.4 Implementation -- 5 Evaluation -- 6 Conclusion -- References -- Analyzing Multi-level BOM-Structured Event Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methods -- 4.1 Analysis Methodology -- 4.2 M2BOM-Structured Assembly Processes -- 5 Case Study -- 6 Conclusion -- References -- Linac: A Smart Environment Simulator of Human Activities -- 1 Introduction -- 2 Existing Solutions -- 3 Proposed Simulation Solution -- 3.1 Configuration of the Smart Environment -- 3.2 Configuration of the Agents' Behavior - AIL Language -- 3.3 Simulation Execution -- 3.4 Clock Simulation -- 3.5 MQTT Output -- 4 Implementation -- 5 Evaluation -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Works -- References -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- 1 Introduction -- 2 Related Work -- 3 The AITIA-PM Algorithm. , 3.1 Background -- 3.2 Algorithmic Procedure -- 4 Demonstration -- 5 Conclusion -- References -- xPM: A Framework for Process Mining with Exogenous Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 A Framework for Process Mining with Exogenous Data -- 4.1 Linking -- 4.2 Slicing -- 4.3 Transformation -- 4.4 Discovery -- 4.5 Enhancing -- 5 Evaluation -- 5.1 Procedure -- 5.2 Quality Measures -- 5.3 Event Logs and Exogenous Data -- 5.4 Results and Discussion -- 6 Conclusion -- References -- A Bridging Model for Process Mining and IoT -- 1 Introduction -- 2 Background -- 2.1 IoT Ontologies -- 2.2 Business Process Context Modelling -- 3 Conceptual Ambiguity in IoT and PM -- 3.1 IoT Data -- 3.2 Context in PM vs Context in IoT -- 3.3 Process Event vs IoT Event -- 4 Connecting IoT and Process Mining: A Conceptual Model -- 5 Use Case Validation -- 6 Related Work -- 7 Conclusion -- References -- ML4PM 2021: 2nd International Workshop in Leveraging Machine Learning for Process Mining -- 2nd International Workshop in Leveraging Machine Learning for Process Mining (ML4PM 2021) -- Organization -- Workshop Chairs -- Program Committee -- Additional Reviewers -- Exploiting Instance Graphs and Graph Neural Networks for Next Activity Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Building Instance Graphs -- 3.2 Data Preprocessing -- 3.3 Deep Graph Convolutional Neural Network -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusions and Future Works -- References -- Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis -- 1 Introduction -- 2 Related Work -- 3 A Framework for Assessing the Generalisation Capacity of RNNs -- 3.1 The Resampling Procedure -- 3.2 Metrics -- 4 Experimental Evaluation -- 4.1 Process Models -- 4.2 Hyperparameter Search -- 4.3 Results -- 5 Discussion. , 6 Conclusion and Future Work -- References -- Remaining Time Prediction for Processes with Inter-case Dynamics -- 1 Introduction -- 2 Preliminaries and Related Work -- 2.1 Related Work -- 2.2 RTM Background -- 2.3 Performance Spectrum with Error Progression -- 3 Approach -- 3.1 Detecting Uncertain Segments -- 3.2 Identifying Inter-case Dynamics in Uncertain Segments -- 3.3 Inter-case Feature Creation -- 3.4 Predicting the Next Segment -- 3.5 Predicting Waiting Time -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Event Log Sampling for Predictive Monitoring -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Proposed Sampling Methods -- 5 Evaluation -- 5.1 Event Logs -- 5.2 Implementation -- 5.3 Evaluation Setting -- 5.4 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Active Anomaly Detection for Key Item Selection in Process Auditing -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Active Anomaly Detection -- 2.3 Trace Visualisation -- 3 Active Selection Approach -- 3.1 Step One: Encode Process Data -- 3.2 Step Two: Assign Anomaly Score -- 3.3 Step Three: Actively Label Exceptions -- 4 Evaluation -- 4.1 Step One: Encode Process Data -- 4.2 Step Two: Assign Anomaly Score -- 4.3 Step Three: Actively Label Exceptions -- 4.4 Performance Results -- 5 Discussion -- 5.1 Cycle One -- 5.2 Cycle Two -- 5.3 Cycle Three -- 6 Limitations -- 7 Conclusion and Future Work -- References -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- 1 Introduction -- 2 Background and Related Work -- 2.1 Predictive Process Monitoring -- 2.2 Prescriptive Process Monitoring -- 2.3 Causal Inference -- 3 Approach -- 3.1 Log Preprocessing -- 3.2 Predictive Model -- 3.3 Causal Model -- 3.4 Resource Allocator -- 4 Evaluation -- 4.1 Dataset. , 4.2 Experiment Setup -- 4.3 Results -- 4.4 Threats to Validity -- 5 Conclusion -- References -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- 1 Introduction -- 2 Preliminaries -- 3 Explainability in OOPPM -- 3.1 Explainability Through Interpretability and Faithfulness -- 3.2 Logit Leaf Model -- 3.3 Generalized Logistic Rule Model -- 4 Experimental Evaluation -- 4.1 Benchmark Models -- 4.2 Event Logs -- 4.3 Implementation -- 4.4 Quantitative Metrics Results -- 5 Conclusion -- References -- SA4PM 2021: 2nd International Workshop on Streaming Analytics for Process Mining -- 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) -- Organization -- Workshop Chairs -- Program Committee -- Online Prediction of Aggregated Retailer Consumer Behaviour -- 1 Introduction -- 2 Framework -- 2.1 Features -- 2.2 Clustering -- 2.3 Training -- 2.4 Predicting -- 3 Experimental Evaluation -- 3.1 Experimental Setup -- 3.2 Results -- 4 Related Work -- 5 Conclusion and Future Work -- References -- PErrCas: Process Error Cascade Mining in Trace Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Online Cascade Mining -- 4.1 Outlier Segment-Level Events -- 4.2 Error Cascade Construction -- 4.3 Cascade Patterns -- 5 Evaluation -- 5.1 Synthetic Data -- 5.2 Travel Reimbursement Process -- 6 Conclusion -- References -- Continuous Performance Evaluation for Business Process Outcome Monitoring -- 1 Introduction -- 2 Related Work -- 3 Continuous Prediction Evaluation Framework -- 4 Performance Evaluation Methods -- 4.1 Evaluating Performance Using a Local Timeline -- 4.2 Real-Time Model Performance -- 5 Experimental Analysis and Results -- 6 Conclusions -- References -- PQMI 2021: 6th International Workshop on Process Querying, Manipulation, and Intelligence. , 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2021) -- Organization -- Workshop Organizers -- Program Committee -- An Event Data Extraction Approach from SAP ERP for Process Mining -- 1 Introduction -- 2 Background -- 2.1 Object-Centric Event Logs -- 2.2 SAP: Entities and Relationships -- 3 Extracting Event Data from SAP ERP: Approach -- 3.1 Building Graphs of Relations -- 3.2 Extracting Object-Centric Event Logs -- 4 Extracting Event Data from SAP ERP: Tool -- 5 Assessment -- 5.1 Building a Graph of Relations -- 5.2 Extracting Object-Centric Event Logs -- 6 Related Work -- 7 Conclusion -- References -- Towards a Natural Language Conversational Interface for Process Mining -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pre-processing and Tagging -- 3.2 Semantic Parsing -- 3.3 PM Tool Interface Mapping -- 4 Sample Questions -- 5 Proof of Concept -- 6 Conclusions and Future Work -- References -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- 1 Introduction -- 2 Related Work -- 2.1 Generalization Metric -- 2.2 Adversarial System Variant Approximation -- 3 Notations -- 4 Problem Statement -- 5 Experimental Setup -- 5.1 Sampling Parameter -- 5.2 Variant Log Size -- 5.3 Biased Variant Logs -- 6 Results -- 6.1 Sampling Parameter Results -- 6.2 Variant Log Size Results -- 6.3 Biased Variant Log Results -- 7 Conclusion -- References -- PODS4H 2021: 4th International Workshop on Process-Oriented Data Science for Healthcare -- Fourth International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) -- Organization -- Workshop Chairs -- Program Committee -- Verifying Guideline Compliance in Clinical Treatment Using Multi-perspective Conformance Checking: A Case Study -- 1 Introduction -- 2 Background. , 3 Research Method.

Additional Edition: Print version: Munoz-Gama, Jorge Process Mining Workshops Cham : Springer International Publishing AG,c2022 ISBN 9783030985806

Language: English

Keywords: Electronic books. ; Electronic books ; Electronic books

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UID:

Format: 1 Online Ressource (XIV, 202 Seiten, 90 illus)

ISBN: 9783319494517

Series Statement: Lecture notes in business information processing 270

Note: Dissertation Universitat Politècnica de Catalunya (Spain) 2014?

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-49450-0

Language: English

Subjects: Economics

Keywords: Prozessmanagement ; Data Mining ; Hochschulschrift

DOI: 10.1007/978-3-319-49451-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (410 p.)

ISBN: 9783030985813

Series Statement: Lecture Notes in Business Information Processing

Content: This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31-November 4, 2021. 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 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included

Note: English

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UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-98581-3

Series Statement: Lecture notes in business information processing 433

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-030-98580-6

Language: English

Subjects: Computer Science , Economics

Keywords: Data Mining ; Konferenzschrift

DOI: 10.1007/978-3-030-98581-3

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)