AnomalyTK: A Multivariate Time Series Anomaly Detection Method

Tao Xiao; Feng Zeng

doi:10.1109/scecs65243.2025.11065321

ScienceGate Book Chapters

JOURNAL ARTICLE

AnomalyTK: A Multivariate Time Series Anomaly Detection Method

Tao Xiao Feng Zeng

Year: 2025 Pages: 360-366

DOI: 10.1109/scecs65243.2025.11065321

Get Full-Text PDF Get Analytical Report

Keywords:

Series (stratigraphy) Anomaly detection Multivariate statistics Computer science Time series Anomaly (physics) Data mining Machine learning Geology Physics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.10

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

AnomalyTK: A Multivariate Time Series Anomaly Detection Method

Metrics

Topics

Related Documents

Multivariate time-series anomaly detection

Multivariate time series anomaly detection

Multivariate Time Series Anomaly Detection Method Based on mTranAD

Anomaly detection in multivariate time series using ensemble method

Adaptive Multivariate Time-Series Anomaly Detection