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Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /
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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | Lecture Notes in Business Information Processing,
207 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.