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 …

Modern service providers often have to deal with large amounts of customer requests, which
they need to act upon in a swift and effective manner to ensure adequate support is …

Predictive process monitoring (PPM) is a specific task under the umbrella of Process Mining
that aims to predict several factors of a business process (eg, next activity prediction) based …

In complex processes, various events can happen in different sequences. The prediction of
the next event given an a-priori process state is of importance in such processes. Recent …

Conformance checking refers to techniques that can compare normative process behavior,
typically captured by process models, and observed process behavior, usually captured in …

Forecasting future states of running process instances is one of the main challenges of
Predictive Process Monitoring (PPM). Several deep learning approaches have recently …

In the context of process mining, alignments are increasingly being adopted for conformance
checking, due to their ability in providing sophisticated diagnostics on the nature and extent …

In the current scenario, where cyber-incidents occur daily, an effective Incident Management
Process (IMP) and its assessment have assumed paramount significance. While …

Predictive process monitoring is at the intersection of machine learning and process mining.
This subfield of process mining leverages historical data generated from process executions …

The prediction of the remaining time for business processes is a major task in predictive
process monitoring (PPM). In the last years, various machine learning methods were …