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Found 6 papers, 1 papers with code
Modeling Unknown Stochastic Dynamical System via Autoencoder
We present a numerical method to learn an accurate predictive model for an unknown stochastic dynamical system from its trajectory data.
A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining
The performance of existing process discovery algorithms can be affected when there are missing activity labels in event logs.
A Novel Approach to Discover Switch Behaviours in Process Mining
Process mining is a relatively new subject which builds a bridge between process modelling and data mining.
A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining
Such inconsistency would then lead to redundancy in activity labels, which refer to labels that have different syntax but share the same behaviours.
Detecting and Understanding Branching Frequency Changes in Process Models
In this paper, we propose a method which takes both event logs and process models as input and generates a choice sequence for each exclusive choice in the process model.
Discovering Redundant Activities in Event Logs for the Simplification of Process Models
The key to process mining is to discovery understandable process models.
