RePAD: Real-Time Proactive Anomaly Detection for Time Series

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran. RePAD: Real-Time Proactive Anomaly Detection for Time Series. In Leonard Barolli, Flora Amato, Francesco Moscato 0001, Tomoya Enokido, Makoto Takizawa 0001, editors, Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA-2020, Caserta, Italy, 15-17 April [canceled because of the COVID-19 crisis]. Volume 1151 of Advances in Intelligent Systems and Computing, pages 1291-1302, Springer, 2020. [doi]

Abstract

Abstract is missing.