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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/137476857X
Titel Mastering Organizational Dynamics Using Process Mining / by Roy Jing Yang
Person(en) Yang, Roy Jing (Verfasser)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XIV, 107 p. 29 illus. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-93529-9
Printed edition:: ISBN: 978-3-031-93531-2
Inhalt 1 Introduction -- 1.1 Process Mining -- 1.2 Mining Organizational Models from Event Logs -- 1.3 Outlook -- 2 Framework for Organizational Model Mining -- 2.1 Preliminaries -- 2.2 Execution Context -- 2.3 Organizational Model -- 2.4 Discovering Organizational Models -- 2.5 Evaluating Organizational Models -- 2.5.1 Fitness -- 2.5.2 Precision -- 2.6 Analyzing Organizational Models -- 2.7 Discussion -- 3 Learning Execution Contexts -- 3.1 Preliminaries -- 3.2 Problem Modeling -- 3.2.1 Categorization Rules -- 3.2.2 Quality Measures for Execution Contexts -- 3.2.3 Problem Statement -- 3.3 Problem Solution -- 3.3.1 Deriving Attribute Specification -- 3.3.2 Inducing Rules via Simulated Annealing -- 3.4 Evaluation -- 3.4.1 Event Log Datasets -- 3.4.2 Experiment Setup -- 3.4.3 Evaluation against the Baselines -- 3.4.4 Evaluation between tree-based and SA-based -- 3.4.5 Summary -- 3.5 Discussion -- 4 Discovering Organizational Models -- 4.1 A Three-Phased Discovery Approach -- 4.1.1 Determining Execution Contexts -- 4.1.2 Discovering Resource Grouping -- 4.1.3 Profiling Resource Groups -- 4.2 Implementation -- 4.3 Evaluation -- 4.3.1 Experiment Setup -- 4.3.2 Model Evaluation and Comparison -- 4.3.3 Model Diagnosis -- 4.3.4 Summary -- 4.4 Discussion -- 5 Applying Organizational Models to Workforce Analytics -- 5.1 Preliminaries -- 5.2 Resource Group Work Profiles -- 5.2.1 Work Profile Indicators -- 5.2.2 Extracting and Analyzing Work Profiles -- 5.3 Case Study: One Process, Five Municipalities -- 5.3.1 Group-level Analysis -- 5.3.2 Within-Group Analysis -- 5.3.3 Summary -- 5.4 Discussion -- 6 Epilogue -- 6.1 Conclusions -- 6.2 Future Work -- References
Persistent Identifier URN: urn:nbn:de:101:1-2508260407392.763396929224
DOI: 10.1007/978-3-031-93530-5
URL https://doi.org/10.1007/978-3-031-93530-5
ISBN/Einband/Preis 978-3-031-93530-5
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Business Information Processing ; 552
DDC-Notation 658.5 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 650 Management

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