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Incremental Process Discovery

Language EnglishEnglish
Book Paperback
Book Incremental Process Discovery Daniel Schuster
Libristo code: 46822685
Publishers Springer, Berlin, April 2025
This book constitutes the revised version of the award-winning PhD dissertation written by the autho... Full description
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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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About the book

Full name Incremental Process Discovery
Language English
Binding Book - Paperback
Date of issue 2025
Number of pages 390
EAN 9783031805646
Libristo code 46822685
Publishers Springer, Berlin
Weight 581
Dimensions 155 x 235
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