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Beschreibung
After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining."
The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 15. Mai 2015 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 359 Gramm |
| Format | Softcover |
| ISBN-13 | 9783319174815 |
| Seiten | 220 |
Schlagwörter
Automated Pattern Recognition, Business Process Management, Computer Application in Administrative Data Processing, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Data Mining, Data Mining and Knowledge Discovery, Mustererkennung, Wirtschaftsmathematik und -informatik - IT-Management, Wissensbasierte Systeme - Expertensysteme
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