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Device Data Ingestion for Industrial Big Data Platforms with a Case Study.

, , , , , , and . Sensors, 16 (3): 279 (2016)

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Selecting Superior Candidates from a Suitable Set: A Selective Extraction Algorithm for Accelerating Shapelet Discovery in Time Series Data., , , , and . CSCWD, page 404-409. IEEE, (2019)A Fast Shapelet Discovery Algorithm Based on Important Data Points., , , , , and . Int. J. Web Serv. Res., 14 (2): 67-80 (2017)ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation., , , and . Softw. Pract. Exp., 50 (11): 2065-2081 (2020)Multi-layer Representation Learning and Its Application to Electronic Health Records., , , and . Neural Process. Lett., 53 (2): 1417-1433 (2021)Time series classification with random temporal features., , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (9): 101783 (October 2023)Automatic Component Identification Based on Time Series Classification for Intelligent Devices., , , , and . ICDM (Workshops), page 540-549. IEEE, (2023)A Continuous Segmentation Algorithm for Streaming Time Series., , , , , and . CollaborateCom, volume 201 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 140-151. Springer, (2016)XG-SF: An XGBoost Classifier Based on Shapelet Features for Time Series Classification., , , , , and . IIKI, volume 147 of Procedia Computer Science, page 24-28. Elsevier, (2018)Efficient Snapshot KNN Join Processing for Large Data Using MapReduce., , , , and . ICPADS, page 713-720. IEEE Computer Society, (2016)Cooperative Anomaly Detection Model and Real-Time Update Strategy for Industrial Stream Data., , , and . ChineseCSCW, volume 1330 of Communications in Computer and Information Science, page 307-319. Springer, (2020)