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Taschenbuch. Zustand: Neu. Incremental Process Discovery | Daniel Schuster | Taschenbuch | Lecture Notes in Business Information Processing | xvi | Englisch | 2025 | Springer | EAN 9783031805646 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario.In 2024, this PhD dissertation won the 'Best Process Mining PhD Dissertation Award' by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario.In 2024, this PhD dissertation won the 'Best Process Mining PhD Dissertation Award' by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field. 384 pp. Englisch.
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In den WarenkorbPaperback. Zustand: new. Paperback. This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario.In 2024, this PhD dissertation won the Best Process Mining PhD Dissertation Award by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field. This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Springer, Springer Apr 2025, 2025
ISBN 10: 303180564X ISBN 13: 9783031805646
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.