Process mining: software comparison, trends, and challenges
O Loyola-González - International Journal of Data Science and Analytics, 2023 - Springer
Process mining is the confluence between data mining and business process management,
which is a growing and promising research topic. From process execution event logs …
which is a growing and promising research topic. From process execution event logs …
[HTML][HTML] PM4Py: A process mining library for Python
PM4Py is a Python library providing a comprehensive array of tools for process mining. This
paper presents an in-depth overview of the PM4Py library, including its integration with other …
paper presents an in-depth overview of the PM4Py library, including its integration with other …
[PDF][PDF] Actionable artificial intelligence for the future of production
Actionable artificial intelligence for the future of production Page 120 5 Actionable Artificial
Intelligence for the Future of Production Mohamed Behery, Philipp Brauner, Hans Aoyang …
Intelligence for the Future of Production Mohamed Behery, Philipp Brauner, Hans Aoyang …
[HTML][HTML] Data-aware conformance checking with SMT
Conformance checking is a key process mining task to confront the normative behavior
imposed by a process model with the actual behavior recorded in a log. While this problem …
imposed by a process model with the actual behavior recorded in a log. While this problem …
[HTML][HTML] Learning business process simulation models: A Hybrid process mining and deep learning approach
Business process simulation is a well-known approach to estimate the impact of changes to
a process with respect to time and cost measures–a practice known as what-if process …
a process with respect to time and cost measures–a practice known as what-if process …
[HTML][HTML] Multi-perspective conformance checking of uncertain process traces: An SMT-based approach
Conformance checking, one of the central tasks in process mining, compares the expected
behavior described by a reference process model to the actual behavior recorded in an …
behavior described by a reference process model to the actual behavior recorded in an …
Conformance checking over uncertain event data
The strong impulse to digitize processes and operations in companies and enterprises have
resulted in the creation and automatic recording of an increasingly large amount of process …
resulted in the creation and automatic recording of an increasingly large amount of process …
Probabilistic declarative process mining
In a variety of application domains,(business) processes are intrinsically uncertain.
Surprisingly, only very few languages and techniques in BPM consider uncertainty as a first …
Surprisingly, only very few languages and techniques in BPM consider uncertainty as a first …
Learning accurate business process simulation models from event logs via automated process discovery and deep learning
Business process simulation is a well-known approach to estimate the impact of changes to
a process with respect to time and cost measures–a practice known as what-if process …
a process with respect to time and cost measures–a practice known as what-if process …
Significant stochastic dependencies in process models
Process mining aims to artificially derive meaningful information from event logs recorded
from information systems that support business processes in organisations. In many real-life …
from information systems that support business processes in organisations. In many real-life …