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.

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 bel...

Πίνακας περιεχομένων:

• 1 Introduction
• Part I: State of the Art: BPM, Data Mining and Process Mining
• 2 Introduction to Business Processes, BPM, and BPM Systems
• 3 Data Generated by Information Systems (and How to Get It)
• 4 Data Mining for Information System Data
• 5 Process Mining
• 6 Quality Criteria in Process Mining
• 7 Event Streams
• Part II: Obstacles to Process Mining in Practice
• 8 Obstacles to Applying Process Mining in Practice
• 9 Long-term View Scenario
• Part III: Process Mining as an Emerging Technology
• 10 Data Preparation
• 11 Heuristics Miner for Time Interval
• 12 Automatic Configuration of Mining Algorithm
• 13 User-Guided Discovery of Process Models
• 14 Extensions of Business Processes with Organizational Roles
• 15 Results Interpretation and Evaluation
• 16 Hands-On: Obtaining Test Data
• Part IV: A New Challenge in Process Mining
• 17 Process Mining for Stream Data Sources
• Part V: Conclusions and Future Work
• 18 Conclusions and Future Work.