XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework
This is an incremental improvement for process management practitioners, focusing on software implementation rather than novel methods.
The paper tackles process prediction by developing a software application that uses the Tensorflow deep-learning framework to predict the next activity in running processes, offering improvements over earlier work through an easy-to-use graphical interface for training and prediction.
Predicting the next activity of a running process is an important aspect of process management. Recently, artificial neural networks, so called deep-learning approaches, have been proposed to address this challenge. This demo paper describes a software application that applies the Tensorflow deep-learning framework to process prediction. The software application reads industry-standard XES files for training and presents the user with an easy-to-use graphical user interface for both training and prediction. The system provides several improvements over earlier work. This demo paper focuses on the software implementation and describes the architecture and user interface.