| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Analyzing control flow information to improve the effectiveness of process model matching techniques
|
Klinkmüller, Christopher
|
|
2017
|
100 |
C |
p. 6-14
|
artikel
|
| 2 |
Challenges of smart business process management: An introduction to the special issue
|
Mendling, Jan
|
|
2017
|
100 |
C |
p. 1-5
|
artikel
|
| 3 |
Data-driven Process Prioritization in Process Networks
|
Kratsch, Wolfgang
|
|
2017
|
100 |
C |
p. 27-40
|
artikel
|
| 4 |
Discovering work prioritisation patterns from event logs
|
Suriadi, Suriadi
|
|
2017
|
100 |
C |
p. 77-92
|
artikel
|
| 5 |
Editorial Board
|
|
|
2017
|
100 |
C |
p. IFC
|
artikel
|
| 6 |
Fodina: A robust and flexible heuristic process discovery technique
|
vanden Broucke, Seppe K.L.M.
|
|
2017
|
100 |
C |
p. 109-118
|
artikel
|
| 7 |
Overcoming individual process model matcher weaknesses using ensemble matching
|
Meilicke, Christian
|
|
2017
|
100 |
C |
p. 15-26
|
artikel
|
| 8 |
Predicting process behaviour using deep learning
|
Evermann, Joerg
|
|
2017
|
100 |
C |
p. 129-140
|
artikel
|
| 9 |
ProcessProfiler3D: A visualisation framework for log-based process performance comparison
|
Wynn, M.T.
|
|
2017
|
100 |
C |
p. 93-108
|
artikel
|
| 10 |
Process querying: Enabling business intelligence through query-based process analytics
|
Polyvyanyy, Artem
|
|
2017
|
100 |
C |
p. 41-56
|
artikel
|
| 11 |
Retrieving batch organisation of work insights from event logs
|
Martin, Niels
|
|
2017
|
100 |
C |
p. 119-128
|
artikel
|
| 12 |
The Structured Process Modeling Method (SPMM) what is the best way for me to construct a process model?
|
Claes, Jan
|
|
2017
|
100 |
C |
p. 57-76
|
artikel
|
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