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Authors | Andrea Burattin |
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Year | 2015 |
Pages | 234 |
Publisher | Springer |
Language | en |
ISBN | 9783319174815 |
File Size | 19.36 MB |
File Format | |
Download Counter | 868 |
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.