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Incremental Process Discovery - Daniel Schuster

Incremental Process Discovery

(Autor)

Buch | Softcover
XVI, 367 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-80564-6 (ISBN)
CHF 98,85 inkl. MwSt

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.

Opening and fundamentals.- incremental process discovery.- facilitating interaction with event data.- realization and application.- closure.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Business Information Processing
Zusatzinfo XVI, 367 p. 156 illus., 76 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Sozialwissenschaften
Schlagworte business process management • conformance checking • event-data management • Information Retrieval • information systems • process dicsovery • Process Mining • Process Querying
ISBN-10 3-031-80564-X / 303180564X
ISBN-13 978-3-031-80564-6 / 9783031805646
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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