Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /

• Main Author: Burattin, Andrea (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Lecture Notes in Business Information Processing, 207
• Subjects: Computer science.; Management information systems.; Industrial management.; Data mining.; Pattern recognition.; Application software.; Computer Science.; Data Mining and Knowledge Discovery.; Business Process Management.; Computer Appl. in Administrative Data Processing.; Pattern Recognition.
• Physical Description: XII, 220 p. 101 illus. online resource.
• ISBN: 9783319174822
• ISSN: 1865-1348 ;

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.