Anomaly detection in aggregates of grouped time series, composed of high-dimensional and high-frequency event sequences

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Nuno Costa, Armindo Lobo, Suelma Romina Semedo Pina, F.J.G. Franco, A. Humphrey, Ali Abbasi, Ricardo Rodrigues, Duarte Fernandes, Negin Mehrbod, Miguel Alves, E. D. Mendes Gouveia
DOI: 10.2139/ssrn.6206936
Cited by: 0
References: 21

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Network Security and Intrusion Detection Software System Performance and Reliability

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint