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 …

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges.
In this paper, we particularly focus on the bright side of AI and its promising potential to face …

Business processes are a key driver of organizational success, which is why business
process improvement (BPI) is a central activity of business process management. Despite an …

MOOCs have attracted hundreds of millions of learners with advantages such as being cost-
free and having flexible time and space. However, high dropout rates have become the main …

Carbon trading prices are considered important reference indicators for policy formulation
and enterprise decision-making, and play an important role in low-carbon development …

For a global breeding organization, identifying the next generation of superior crops is vital
for its success. Recognizing new genetic varieties requires years of in-field testing to gather …

Time series data are ubiquitous in human society and nature, and classification is one of the
most significant problems in the field of time series mining. Although it has been intensively …

For the reliable prediction and analysis of large amounts of data, big data analytics may be
applied in many disciplines. They facilitate the discovery of important information in large …

Predictive process monitoring (PPM) allows companies to improve the efficiency of their
business processes by predicting aspects such as the process outcome, the next event, or …