Object-Centric Predictive Process Monitoring

Clustering-Based Predictive Process Monitoring

Business process enactment is generally supported by information systems that record data about process executions, which can be extracted as event logs. Predictive process monitoring is concerned with exploiting such event logs to predict how running (uncompleted) cases will unfold up to their completion. In this paper, we propose a predictive process monitoring framework for estimating the pr...

A Dashboard-based Predictive Process Monitoring Engine

Process monitoring forms an integral part of business process management. It involves activities in which process execution data are collected and analyzed to measure the process performance with respect to the performance objectives. Traditionally, process monitoring has been performed at runtime, providing a real-time overview of the process performance and identifying performance issues as t...

Temporal Stability in Predictive Process Monitoring

Predictive business process monitoring is concerned with the analysis of events produced during the execution of a business process in order to predict as early as possible the final outcome of an ongoing case. Traditionally, predictive process monitoring methods are optimized with respect to accuracy. However, in environments where users make decisions and take actions in response to the predi...

Object-Centric Behavioral Constraints: Integrating Data and Declarative Process Modelling

Performance-Centric Business Activity Monitoring Framework for Continuous Process Improvement

For better business performance or continuous process improvement of an enterprise, real-time measurement and analysis of the performance of managerial activities is essential. Business Activity Monitoring (BAM) which provides real-time access to key performance indicators or business processes is one of core elements for successful BPM system. Since performance measurement cannot be managed in...