Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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Incremental Process Discovery
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Taschenbuch. Condition: 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. 367 pp. Englisch. Seller Inventory # 9783031805646
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Paperback. Condition: 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. Seller Inventory # 9783031805646
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Taschenbuch. Condition: 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. Seller Inventory # 9783031805646
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