Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …

Developing LSTM neural networks that can accurately predict the future trajectory of
ongoing cases and their remaining runtime is an active area of research in predictive …

Before the findings of a process mining project can be turned into actionable insights or
recommendations, it is essential to make sure that the findings are actually valid. Therefore …

The aviation industry has faced significant challenges in recent years, including a
punctuality crisis in 2018/19 and the ongoing impact of COVID-19 on operations since …

Process mining is widely used to visualize, analyze, and improve business processes.
However, often its application is hindered by the considerable preparation effort that needs …

Inefficiencies in mine equipment maintenance processes result in high operation costs and
reduce mine sustainability. However, current methods for process optimization are limited …

Process mining applies data mining to the data produced in the slipstream of the executing
process instances. Hence, it enables organisations gain transparency about how exactly the …

It is essential to innovate and improve service levels by predicting possible process
outcomes due to the growth of online service providers. This study estimates the customer …

Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …

The prediction of service process performance is fraught with challenges from the selection
of suitable recurrent neural network architectures. In this study, we evaluate the …