Cite
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.
MLA
Zhang, Lin, et al. “AURORA: A Unified FRamework fOR Anomaly Detection on Multivariate Time Series.” Data Mining & Knowledge Discovery, vol. 35, no. 5, Sept. 2021, pp. 1882–905. EBSCOhost, https://doi.org/10.1007/s10618-021-00771-7.
APA
Zhang, L., Zhang, W., McNeil, M. J., Chengwang, N., Matteson, D. S., & Bogdanov, P. (2021). AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Mining & Knowledge Discovery, 35(5), 1882–1905. https://doi.org/10.1007/s10618-021-00771-7
Chicago
Zhang, Lin, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, and Petko Bogdanov. 2021. “AURORA: A Unified FRamework fOR Anomaly Detection on Multivariate Time Series.” Data Mining & Knowledge Discovery 35 (5): 1882–1905. doi:10.1007/s10618-021-00771-7.