XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework

TL;DR

This paper presents XES Tensorflow, a software tool utilizing deep learning with Tensorflow to predict process activities, featuring an easy-to-use interface and improvements over previous methods.

Contribution

It introduces a software application that applies Tensorflow for process prediction, with a user-friendly GUI and enhanced features over earlier approaches.

Findings

Effective process activity prediction using deep learning.

User-friendly graphical interface for training and prediction.

Improved accuracy over prior models.

Abstract

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.