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Found 4 papers, 2 papers with code
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection
We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting.
Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction
In this paper, we propose FlexHMiner, a three-step approach to discover processes with multi-level interleaved subprocesses.
Identifying Patient Groups based on Frequent Patterns of Patient Samples
In this paper we propose an approach that is able to find groups of patients based on a small sample of positive examples given by a domain expert.
The Imprecisions of Precision Measures in Process Mining
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log.
