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Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms., , , , , , , , and . Neurocomputing, (2021)From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification., , , , and . Int. J. Intell. Syst., 34 (12): 3260-3274 (2019)Big Data Preprocessing - Enabling Smart Data, , , , and . Springer, (2020)Enabling Smart Data: Noise filtering in Big Data classification., , , and . Inf. Sci., (2019)Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series., , , , , and . Inf. Fusion, (December 2023)Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data., , , , , and . WIREs Data Mining Knowl. Discov., (2019)DPASF: A Flink Library for Streaming Data preprocessing., , , and . CoRR, (2018)Smart Data based Ensemble for Imbalanced Big Data Classification., , , , and . CoRR, (2020)Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study., , , , , , and . Neurocomputing, (August 2023)Enabling Smart Data: Noise filtering in Big Data classification., , , and . CoRR, (2017)