[HTML][HTML] Utilizing domain knowledge in data-driven process discovery: A literature review
Process mining aims to improve operational processes in a data-driven manner. To this end,
process mining offers methods and techniques for systematically analyzing event data …
process mining offers methods and techniques for systematically analyzing event data …
On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective
MR HabibAgahi, MAMA Kermani… - Expert Systems with …, 2022 - Elsevier
As a noticeable focal point in the field of analysis tools, Social Network Analysis (SNA) has
received much interest to model real-world phenomena in a variety of domains, eg, research …
received much interest to model real-world phenomena in a variety of domains, eg, research …
Complex process modeling in Process mining: A systematic review
Process mining techniques are used to extract knowledge about the efficiency and
compliance of an organization's business processes through process models. Real-life …
compliance of an organization's business processes through process models. Real-life …
[HTML][HTML] Cortado: A dedicated process mining tool for interactive process discovery
Process discovery is an essential discipline within process mining, which deals with the data-
driven generation of insights into operational processes. From event data that capture …
driven generation of insights into operational processes. From event data that capture …
Analyzing healthcare processes with incremental process discovery: Practical insights from a real-world application
D Schuster, E Benevento, D Aloini… - Journal of Healthcare …, 2024 - Springer
Most process mining techniques are primarily automated, meaning that process analysts
input information and receive output. As a result, process mining techniques function like …
input information and receive output. As a result, process mining techniques function like …
Screening process mining and value stream techniques on industrial manufacturing processes: process modelling and bottleneck analysis
J Rudnitckaia, HS Venkatachalam, R Essmann… - IEEE …, 2022 - ieeexplore.ieee.org
One major result of the Industrial Digitalization is the access to a large set of digitalized data
and information, ie Big Data. The market of analytic tools offers a huge variety of algorithms …
and information, ie Big Data. The market of analytic tools offers a huge variety of algorithms …
Cortado—an interactive tool for data-driven process discovery and modeling
Process mining aims to diagnose and improve operational processes. Process mining
techniques allow analyzing the event data generated and recorded during the execution of …
techniques allow analyzing the event data generated and recorded during the execution of …
Discovering sound free-choice workflow nets with non-block structures
TH Huang, WMP van der Aalst - International Conference on Enterprise …, 2022 - Springer
Process discovery aims to discover models that can explain the behaviors of event logs
extracted from information systems. While various approaches have been proposed, only a …
extracted from information systems. While various approaches have been proposed, only a …
Comparing ordering strategies for process discovery using synthesis rules
TH Huang, WMP van der Aalst - International Conference on Service …, 2022 - Springer
Process discovery aims to learn process models from observed behaviors, ie, event logs, in
the information systems. The discovered models serve as the starting point for process …
the information systems. The discovered models serve as the starting point for process …
Freezing sub-models during incremental process discovery
Process discovery aims to learn a process model from observed process behavior. From a
user's perspective, most discovery algorithms work like a black box. Besides parameter …
user's perspective, most discovery algorithms work like a black box. Besides parameter …