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~isPartOf:"Business process transformation"
~isPartOf:"Business & information systems engineering"
~subject:"Deep learning"
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Business process transformation
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Predictive end-to-end enterprise process network monitoring
Oberdorf, Felix
;
Schaschek, Myriam
;
Weinzierl, Sven
; …
- In:
Business & information systems engineering
65
(
2023
)
1
,
pp. 49-64
Persistent link: https://www.econbiz.de/10014228189
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2
Semi-supervised discovery of DNN-based outcome predictors from scarcely-labeled process logs
Folino, Francesco
;
Folino, Gianluigi
;
Guarascio, Massimo
; …
- In:
Business & information systems engineering
64
(
2022
)
6
,
pp. 729-749
Persistent link: https://www.econbiz.de/10013483362
Saved in:
3
Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction
Kratsch, Wolfgang
;
Manderscheid, Jonas Hans
; …
- In:
Business & information systems engineering
63
(
2021
)
3
,
pp. 261-276
Persistent link: https://www.econbiz.de/10012542845
Saved in:
4
A novel business process prediction model using a deep learning method
Mehdiyev, Nijat
;
Evermann, Joerg
;
Fettke, Peter
- In:
Business & information systems engineering
62
(
2020
)
2
,
pp. 143-157
Persistent link: https://www.econbiz.de/10012242462
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