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

• Κύριος συγγραφέας: Burattin, Andrea (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Lecture Notes in Business Information Processing, 207
• Θέματα: 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.
• Φυσική περιγραφή: 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.