Zhang, Lin, Zhang, Wenyu, McNeil, Maxwell J, Chengwang, Nachuan, Matteson, David S, and Bogdanov, Petko. AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Retrieved from https://par.nsf.gov/biblio/10580852. Data Mining and Knowledge Discovery 35.5 Web. doi:10.1007/s10618-021-00771-7.

Zhang, Lin, Zhang, Wenyu, McNeil, Maxwell J, Chengwang, Nachuan, Matteson, David S, & Bogdanov, Petko. AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Mining and Knowledge Discovery, 35 (5). Retrieved from https://par.nsf.gov/biblio/10580852. https://doi.org/10.1007/s10618-021-00771-7

Zhang, Lin, Zhang, Wenyu, McNeil, Maxwell J, Chengwang, Nachuan, Matteson, David S, and Bogdanov, Petko. "AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series". Data Mining and Knowledge Discovery 35 (5). Country unknown/Code not available: Springer. https://doi.org/10.1007/s10618-021-00771-7. https://par.nsf.gov/biblio/10580852.

@article{osti_10580852,
place = {Country unknown/Code not available}, title = {AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series}, url = {https://par.nsf.gov/biblio/10580852}, DOI = {10.1007/s10618-021-00771-7}, abstractNote = {}, journal = {Data Mining and Knowledge Discovery}, volume = {35}, number = {5}, publisher = {Springer}, author = {Zhang, Lin and Zhang, Wenyu and McNeil, Maxwell J and Chengwang, Nachuan and Matteson, David S and Bogdanov, Petko}, }