Masking Neural Networks Using Reachability Graphs to Predict Process Events

• URL: http://arxiv.org/abs/2108.00404v1
• Date: Sun, 1 Aug 2021 09:06:55 GMT
• Title: Masking Neural Networks Using Reachability Graphs to Predict Process Events
• Authors: Julian Theis and Houshang Darabi
• Abstract summary: Decay Replay Mining is a deep learning method that utilizes process model notations to predict the next event. This paper proposes an approach to further interlock the process model of Replay Mining with its neural network for next event prediction.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Decay Replay Mining is a deep learning method that utilizes process model notations to predict the next event. However, this method does not intertwine the neural network with the structure of the process model to its full extent. This paper proposes an approach to further interlock the process model of Decay Replay Mining with its neural network for next event prediction. The approach uses a masking layer which is initialized based on the reachability graph of the process model. Additionally, modifications to the neural network architecture are proposed to increase the predictive performance. Experimental results demonstrate the value of the approach and underscore the importance of discovering precise and generalized process models.

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