Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

This review examines which Industry 4.0 (I4. 0) technologies are suitable for improving Lean
Six Sigma (LSS) tasks and the benefits of integrating these technologies into improvement …

Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

Over the last decade, process mining emerged as a new research field that focuses on the
analysis of processes using event data. Classical data mining techniques such as …

Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies
| SpringerLink Skip to main content Advertisement SpringerLink Log in Menu Find a journal …

Over the last decade there has been a shift from “data-aware” information systems to
“process-aware” information systems. To support business processes an enterprise …

One of the aims of process mining is to retrieve a process model from a given event log.
However, current techniques have problems when mining processes that contain nontrivial …

Business Process Management (BPM) research resulted in a plethora of methods,
techniques, and tools to support the design, enactment, management, and analysis of …

Process Mining is a technique for extracting process models from execution logs. This is
particularly useful in situations where people have an idealized view of reality. Real-life …