Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction
Crossref DOI link: https://doi.org/10.1007/s12599-020-00645-0
Published Online: 2020-04-08
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kratsch, Wolfgang
Manderscheid, Jonas
Röglinger, Maximilian
Seyfried, Johannes
Text and Data Mining valid from 2020-04-08
Version of Record valid from 2020-04-08
Article History
Received: 11 December 2018
Accepted: 6 March 2020
First Online: 8 April 2020