Unlocking learner engagement and performance - A multidimensional approach to mapping learners to learning cohorts

Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights …

Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review

Process mining is a relatively new discipline that focuses on gaining process-centric knowledge from event logs collected by enterprise systems. From an academic standpoint, there has been a constant effort to develop various techniques to …

Preserving Complex Object-Centric Graph Structures to Improve Machine Learning Tasks in Process Mining

Interactions of multiple processes and different objects can be captured using object-centric event data. Object-centric event data represent process executions as event graphs of interacting objects. When applying machine learning techniques to …

A Generic Approach to Extract Object-Centric Event Data from Databases Supporting SAP ERP

Optimizing Resource Allocation Based on Predictive Process Monitoring

Performance-preserving event log sampling for predictive monitoring

Pattern-based action engine: Generating process management actionsusing temporal patterns of process-centric problems

ocpa: A Python library for object-centric process analysis

Action-Oriented Process Mining: Bridging the Gap Between Insights and Actions

Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing

In semiconductor manufacturing, data-driven methodologies have enabled the resolution of various issues, particularly yield management and enhancement. Yield, one of the crucial key performance indicators in semiconductor manufacturing, is mostly …