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 …

Process mining is a promising approach that turns event logs into valuable insights about
processes. One domain amenable to process mining is healthcare, where an enormous …

Process mining helps infer valuable insights about business processes using event logs,
whereas goal modeling focuses on the representation and analysis of competing goals of …

Process mining techniques are designed to read process logs and extract process models
from them. However, real world logs are often noisy and such logs produce bad, spaghetti …

In recent years, process mining has emerged as the leading Big Data technology for
business process analysis. By extracting knowledge from event logs readily available in …

This paper addresses the problem of process discovery from large and complex event logs.
We depart from the existing literature and formulate the problem of optimal process …

Process mining, especially process discovery, has been utilized to extract process models
from event logs. One challenge faced by process discovery is to identify concurrency …

The field of process mining aims at extracting knowledge from event logs. It has caught the
attention of many developers, scientists, researchers and organizations that conform an …

Analyzing event logs generated during the execution of digital processes, organizations can
monitor the behavior of dysfunctional or unspecified processes. For achieving the most …

In the last decade, Process Mining has established as an emerging discipline for being
oriented to the discovery, monitoring, and improvement of processes. This article presents …