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...
| Published in: | Springer eBooks |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Series: | Lecture Notes in Business Information Processing,
|
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-3-319-17482-2 Перейти в каталог НБ ТГУ |
Table of Contents:
- 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.