Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

These days, investigations of information are becoming essential for various associations all
over the globe. By and large, different associations need to perform information …

Process mining has been successfully applied in the healthcare domain and has helped to
uncover various insights for improving healthcare processes. While the benefits of process …

Affective computing is a nascent field situated at the intersection of artificial intelligence with
social and behavioral science. It studies how human emotions are perceived and …

Process mining techniques help to improve processes using event data. Such data are
widely available in information systems. However, they often contain highly sensitive …

To fully understand how a construction project actually proceeds, a novel framework for
automated process discovery from building information modeling (BIM) event logs is …

Protecting the privacy of healthcare information is an important part of encouraging data
custodians to give accurate records so that mining may proceed with confidence. The …

Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector,
such as better quality of treatment, enhanced communication, remote monitoring, and …

Abstract Nowadays, Learning Management Systems (LMS) play an intrinsic role in
education. They gather traces about the learner (course view, wiki view, quiz attempt, etc.) in …

The growing number of next-generation applications offers a relevant opportunity for
healthcare services, generating an urgent need for architectures for systems integration …