Sarah Alnegheimish

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series

Detecting anomalies in time-varying multivariate data is crucial in various industries for the predictive maintenance of equipment. Numerous machine learning (ML) algorithms have been proposed to support automated anomaly identification. However, a significant amount of human knowledge is still required to interpret,…