Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary |
Autore | Fleischmann Albert |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
Descrizione fisica | 1 online resource (X, 275 p. 165 illus., 86 illus. in color.) |
Disciplina | 004 |
Soggetto topico |
Application software
Management information systems Industrial management Organization Planning Computer Appl. in Administrative Data Processing Business Process Management Information Systems Applications (incl. Internet) Business Information Systems |
Soggetto non controllato |
Computer Appl. in Administrative Data Processing
Business Process Management Organization Information Systems Applications (incl. Internet) Business Information Systems Open Access S-BPM Design Thinking Workflow Management Public administration Information technology: general issues Business mathematics & systems Organizational theory & behaviour Information retrieval Internet searching |
ISBN | 3-030-38300-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case. |
Record Nr. | UNINA-9910404119603321 |
Fleischmann Albert
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Cham, : Springer Nature, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary |
Autore | Fleischmann Albert |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
Descrizione fisica | 1 online resource (X, 275 p. 165 illus., 86 illus. in color.) |
Disciplina | 004 |
Soggetto topico |
Application software
Management information systems Industrial management Organization Planning Computer Appl. in Administrative Data Processing Business Process Management Information Systems Applications (incl. Internet) Business Information Systems |
Soggetto non controllato |
Computer Appl. in Administrative Data Processing
Business Process Management Organization Information Systems Applications (incl. Internet) Business Information Systems Open Access S-BPM Design Thinking Workflow Management Public administration Information technology: general issues Business mathematics & systems Organizational theory & behaviour Information retrieval Internet searching |
ISBN | 3-030-38300-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case. |
Record Nr. | UNISA-996465455503316 |
Fleischmann Albert
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Cham, : Springer Nature, 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Internal Crowdsourcing in Companies [[electronic resource] ] : Theoretical Foundations and Practical Applications / / edited by Hannah Ulbrich, Marco Wedel, Hans-Liudger Dienel |
Autore | Ulbrich Hannah |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (VIII, 220 p. 32 illus., 27 illus. in color.) |
Disciplina | 658.3 |
Collana | Contributions to Management Science |
Soggetto topico |
Manpower policy
Knowledge management Management information systems Industrial management Human Resource Development Knowledge Management Business Process Management Business Information Systems |
Soggetto non controllato |
Human Resource Development
Knowledge Management Business Process Management Business Information Systems Human Resource Management Management IT in Business Agile organisations Scrum for crowdsourcing Future of work Cultural change Employee participation and qualification Collective experience and knowledge Open Access Personnel & human resources management Business mathematics & systems |
ISBN | 3-030-52881-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to ‘Internal Crowdsourcing – Theoretical Foundations and Practical Applications’ -- An Introduction to Internal Crowdsourcing -- Managing the Crowd – A Literature Review of Empirical Studies on Internal Crowdsourcing -- Systematization Approach for the Development and Description of an Internal Crowdsourcing System -- Design of a Process and Role Model for Internal Crowdsourcing -- An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation -- Proposals for the Future of Internal Crowdsourcing – A Trade-Union-Based Approach -- Good Practice at GASAG-Group: Recommendations for the Application of Internal Crowdsourcing from a Business Perspective -- The Living Group Works Council Agreement as Social Innovation: Internal Crowdsourcing in the GASAG Group -- The Use of Internal Crowdsourcing for Qualification and Competence Development in Organizations -- Power to the Network – The Concept of Social Business and its Relevance for IC. |
Record Nr. | UNINA-9910427734103321 |
Ulbrich Hannah
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Springer Nature, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Kundennutzen durch digitale Transformation [[electronic resource] ] : Business-Process-Management-Studie – Status quo und Erfolgsmuster / / herausgegeben von Elke Brucker-Kley, Denisa Kykalová, Thomas Keller |
Autore | Brucker-Kley Elke |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2018 |
Descrizione fisica | 1 online resource (XV, 153 S. 84 Abb., 70 Abb. in Farbe.) |
Disciplina | 658.4038 |
Soggetto topico |
Management information systems
Industrial management E-commerce Business Process Management e-Commerce/e-business |
Soggetto non controllato |
Geschäftsprozesse
Modellierung Digitale Transformation Business Process Management BPM Prozessmanagement Digitalisierung Kundennutzen Kunden |
ISBN | 3-662-55707-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Studienrahmen: Begriffsbestimmung, Rahmenwerk und Studiendesign -- Status quo „Prozessmanagement/Digitalisierung/Kundennutzen“: Ergebnisse der quantitativen Studie -- Die Fallstudien: Erfolgsmuster aus der Praxis -- Fazit und Ausblick. |
Record Nr. | UNINA-9910293140703321 |
Brucker-Kley Elke
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Cham, : Springer Nature, 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Obstructions in security-aware business processes : analysis, detection, and handling / / Julius Holderer |
Autore | Holderer Julius |
Pubbl/distr/stampa | Wiesbaden, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xxi, 341 pages) : illustrations (chiefly color) |
Soggetto topico | Business - Data processing - Security measures |
Soggetto non controllato |
IT-Security
Business Process Management Security and Privacy Process Security Compliance Process Automation Process Modeling Petri Net Process Mining Data Mining |
ISBN | 3-658-38154-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Why the Automation of Regulation Can Obstruct Business Processes Security-Related Obstructability in Process-Aware Information Systems Obstruction Modeling OLive-M: A SecANet Use Case for Model-Based Obstruction Solving OLive-L: SecANet Use Case for Log-Based Obstruction Solving Towards Intelligent Security- and Process-Aware Information Systems Bibliography |
Record Nr. | UNINA-9910585779703321 |
Holderer Julius
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Wiesbaden, : Springer Nature, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Obstructions in security-aware business processes : analysis, detection, and handling / / Julius Holderer |
Autore | Holderer Julius |
Pubbl/distr/stampa | Wiesbaden, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xxi, 341 pages) : illustrations (chiefly color) |
Soggetto topico | Business - Data processing - Security measures |
Soggetto non controllato |
IT-Security
Business Process Management Security and Privacy Process Security Compliance Process Automation Process Modeling Petri Net Process Mining Data Mining |
ISBN | 3-658-38154-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Why the Automation of Regulation Can Obstruct Business Processes Security-Related Obstructability in Process-Aware Information Systems Obstruction Modeling OLive-M: A SecANet Use Case for Model-Based Obstruction Solving OLive-L: SecANet Use Case for Log-Based Obstruction Solving Towards Intelligent Security- and Process-Aware Information Systems Bibliography |
Record Nr. | UNISA-996483156803316 |
Holderer Julius
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Wiesbaden, : Springer Nature, 2022 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Process mining workshops : ICPM 2021 international workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021 : revised selected papers / / editors, Jorge Muñoz Gama, Xixi Lu |
Autore | Munoz-Gama Jorge |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xiv, 410 pages) : illustrations (chiefly color) |
Altri autori (Persone) |
Munoz-GamaJorge
LuXixi |
Collana | Lecture notes in business information processing |
Soggetto topico |
Data mining
Electronic data processing |
Soggetto non controllato |
Process Mining
Process Discovery Process Analytics Process Querying Conformance Checking Predictive Process Monitoring Data Science Event Data Streaming Analytics Machine Learning Decision Support Systems Business Process Management Information Systems Petri Nets Open Access |
ISBN | 3-030-98581-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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. |
Record Nr. | UNINA-9910555236103321 |
Munoz-Gama Jorge
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Cham, : Springer Nature, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Process mining workshops : ICPM 2021 international workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021 : revised selected papers / / editors, Jorge Muñoz Gama, Xixi Lu |
Autore | Munoz-Gama Jorge |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xiv, 410 pages) : illustrations (chiefly color) |
Altri autori (Persone) |
Munoz-GamaJorge
LuXixi |
Collana | Lecture notes in business information processing |
Soggetto topico |
Data mining
Electronic data processing |
Soggetto non controllato |
Process Mining
Process Discovery Process Analytics Process Querying Conformance Checking Predictive Process Monitoring Data Science Event Data Streaming Analytics Machine Learning Decision Support Systems Business Process Management Information Systems Petri Nets Open Access |
ISBN | 3-030-98581-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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. |
Record Nr. | UNISA-996464540703316 |
Munoz-Gama Jorge
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Cham, : Springer Nature, 2022 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Prozessintelligenz [[electronic resource] ] : Business-Process-Management-Studie – Status quo und Erfolgsmuster / / herausgegeben von Elke Brucker-Kley, Denisa Kykalová, Thomas Keller |
Autore | Thomas Keller |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Springer Nature, 2018 |
Descrizione fisica | 1 online resource (XIV, 126 S. 64 Abb., 57 Abb. in Farbe.) |
Disciplina | 658.4038 |
Soggetto topico |
Management information systems
Industrial management E-commerce Business Process Management e-Commerce/e-business |
Soggetto non controllato |
Digitale Transformation
Business Process Management Modellierung Geschäftsprozesse Erfolgsmuster Best Practices Prozesse Prozessmanagement BPM |
ISBN | 3-662-55705-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Studienrahmen: Gegenstand und Ziele der Studie -- Die Fallstudien: Erfolgsmuster aus der Praxis -- Die quantitative Studie: Status quo -- Fazit und Ausblick. |
Record Nr. | UNINA-9910293140803321 |
Thomas Keller
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Springer Nature, 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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S-BPM in the wild : practical value creation / / edited by Albert Fleischmann, Werner Schmidt, Christian Stary |
Autore | Fleischmann Albert |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Springer Nature, 2015 |
Descrizione fisica | 1 online resource (xiv, 283 pages) : illustrations; digital file(s) |
Disciplina | 004 |
Soggetto topico |
Application software
Management information systems Business - Data processing Industrial management Software engineering Computer Appl. in Administrative Data Processing Business Process Management Information Systems Applications (incl. Internet) Software Engineering Software Management |
Soggetto non controllato |
Agile Software Development
BPM Business Process Management Business Rules Business-IT Alignment Requirements Engineering |
ISBN | 3-319-17542-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Introduction -- Part I Business Operation Support -- 2 Subject-Oriented Business Processes Meet Strategic Management: Two Case Studies from the Manufacturing Industry -- 3 Communication- and Value-Based Organizational Development at the University Clinic for Radiotherapy-Radiation Oncology -- 4 Introducing S-BPM at an IT Service Providers -- 5 A Service Hardware Application Case Fiducia -- 6 Designing an Agile Process Layer for Competitive Differentiation -- Part II Consultancy and Education Support -- 7 Model as You Do: Engaging an S-BPM Vendor on Process Modelling in 3D Virtual Worlds -- 8 A Tangible Modeling Interface for Subject-Oriented Business Process Management -- 9 A Reference Model for Maintenance Processes -- 10 Role and Rights Management -- 11 Embodying Business Rules in S-BPM -- 12 Agents Implementing Subject Behaviour: A Manufacturing Scenario -- Part III Technical Execution Support -- 13 An Abstract State Machine Interpreter for S-BPM -- 14 Structured Communication—Approaching S-BPM with Microsoft Technologies -- 15 ERP Integration in S-BPM Processes. |
Record Nr. | UNINA-9910131281103321 |
Fleischmann Albert
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Springer Nature, 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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