Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …

Detecting anomalous events in online computer systems is crucial to protect the systems
from malicious attacks or malfunctions. System logs, which record detailed information of …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

While a business process is most often executed following a normal path, anomalies may
sometimes arise and can be captured in event logs. Event log anomalies stem, for instance …

Workarounds are goal‐driven deviations from the standard operating procedures performed
to overcome obstacles constraining day‐to‐day work. Despite starting as temporary fixes …

In this paper, we introduce BINet, a neural network architecture for real-time multi-
perspective anomaly detection in business process event logs. BINet is designed to handle …

In this paper, we propose BINet, a neural network architecture for real-time multivariate
anomaly detection in business process event logs. BINet has been designed to handle both …

Rapidly changing business environments expose companies to high levels of uncertainty.
This uncertainty manifests itself in significant changes that tend to occur over the lifetime of a …

Anomaly detection in process mining aims to recognize outlying or unexpected behavior in
event logs for purposes such as the removal of noise and identification of conformance …

Low quality of business process event logs, as determined by anomalous and missing
values, is often unavoidable in practical contexts. The output of process analysis that uses …