Книга Incremental Process Discovery Daniel Schuster

Incremental Process Discovery

Автор: Daniel Schuster
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 5-8 дни
79.16 154.83 лв
This book constitutes the revised version of the award-winning PhD dissertation written by the autho...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2025
страници
390
EAN
9783031805646
Enbook ID
46822685
Издател
Теглоt
581
Размери
155 x 235

Пълно описание

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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