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Time-Series Anomaly Detection: Overview and New Trends., , , и . Proc. VLDB Endow., 17 (12): 4229-4232 (августа 2024)Detecting Devastating Diseases in Search Logs., , и . KDD, стр. 559-568. ACM, (2016)k-Shape: Efficient and Accurate Clustering of Time Series., и . SIGMOD Conference, стр. 1855-1870. ACM, (2015)Odyssey: An Engine Enabling The Time-Series Clustering Journey., и . Proc. VLDB Endow., 16 (12): 4066-4069 (2023)Fast and Accurate Time-Series Clustering., и . ACM Trans. Database Syst., 42 (2): 8:1-8:49 (2017)Band-limited Training and Inference for Convolutional Neural Networks., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1745-1754. PMLR, (2019)Predicting the impact of scientific concepts using full-text features, , , , , , , , , и 10 other автор(ы). Journal of the Association for Information Science and Technology, (2016)Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection., , , , , и . Proc. VLDB Endow., 15 (11): 2774-2787 (2022)GRAIL: Efficient Time-Series Representation Learning., и . Proc. VLDB Endow., 12 (11): 1762-1777 (2019)Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures., , , и . SIGMOD Conference, стр. 1887-1905. ACM, (2020)