Journal article
Outcome-oriented predictive process monitoring: Review and benchmark
I Teinemaa, M Dumas, ML Rosa, FM Maggi
ACM Transactions on Knowledge Discovery from Data | ACM | Published : 2019
DOI: 10.1145/3301300
Abstract
Predictive business process monitoring refers to the act of making predictions about the future state of ongoing cases of a business process, based on their incomplete execution traces and logs of historical (completed) traces. Motivated by the increasingly pervasive availability of fine-grained event data about business process executions, the problem of predictive process monitoring has received substantial attention in the past years. In particular, a considerable number of methods have been put forward to address the problem of outcomeoriented predictive process monitoring, which refers to classifying each ongoing case of a process according to a given set of possible categorical outcome..
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Awarded by Australian Research Council
Funding Acknowledgements
This research is funded by the Australian Research Council under Grant DP150103356, the Estonian Research Council under Grant IUT20-55, and European Regional Development Fund (Dora Plus Program).