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.Produkteigenschaften
- Artikelnummer: 9783319174815
- Medium: Buch
- ISBN: 978-3-319-17481-5
- Verlag: Springer International Publishing
- Erscheinungstermin: 15.05.2015
- Sprache(n): Englisch
- Auflage: 2015
- Serie: Lecture Notes in Business Information Processing
- Produktform: Kartoniert
- Gewicht: 3577 g
- Seiten: 220
- Format (B x H x T): 155 x 235 x 13 mm
- Ausgabetyp: Kein, Unbekannt