Measuring scalable business process model complexity based on basic control structure

MA Yaqin, R Sarno… - … Journal of Intelligent …, 2020 - repository.uin-malang.ac.id
The business process model is a representation of business activities illustrated through
diagram notations. This model is composed of repeated specific patterns called basic control …

Anomaly detection based on control-flow pattern of parallel business processes

H Darmawan, R Sarno, AS Ahmadiyah… - TELKOMNIKA …, 2018 - telkomnika.uad.ac.id
The purpose of this paper was to discover an anomalous-free business process model from
event logs. The process discovery was conducted using a graph database, specifically using …

A self-adaptive process mining algorithm based on information entropy to deal with uncertain data

W Li, Y Fan, W Liu, M Xin, H Wang, Q Jin - IEEE Access, 2019 - ieeexplore.ieee.org
Process mining is a technology to gain knowledge of the business process by using the
event logs and achieve a model of the process, which contributes to the detection and …

[HTML][HTML] Timed Genetic Process Mining for Robust Tracking of Processes under Incomplete Event Log Conditions

YA Effendi, M Kim - Electronics, 2024 - mdpi.com
In process mining, an event log is a structured collection of recorded events that describes
the execution of processes within an organization. The completeness of event logs is crucial …

[PDF][PDF] Heuristic Linear Temporal Logic Pattern Algorithm in Business Process Model.

KR Sungkono, UE Nur Rochmah… - International Journal of …, 2019 - lbeifits.wordpress.com
Process discovery obtains a process model of activity records. There are two
representations of process model, ie a probabilistic model and a deterministic model. A …

Determining linear temporal logic formula for decomposed process model

R Sarno, AL Nurlaili - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Process discovery is a process to observe behaviour in the event log and to build a model
for the next process. In addition, it is an important process because its strength to predict the …