Process Mining Techniques in Business Environments
Springer International Publishing (Verlag)
978-3-319-17481-5 (ISBN)
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.
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.
| Erscheint lt. Verlag | 15.5.2015 |
|---|---|
| Reihe/Serie | Lecture Notes in Business Information Processing |
| Zusatzinfo | XII, 220 p. 101 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | BPM • business process management • Data Mining • Data streams • Process Mining |
| ISBN-10 | 3-319-17481-9 / 3319174819 |
| ISBN-13 | 978-3-319-17481-5 / 9783319174815 |
| Zustand | Neuware |
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