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Ultra Data-Oriented Parallel Fractional Hot-Deck Imputation With Efficient Linearized Variance Estimation., , , and . IEEE Trans. Knowl. Data Eng., 35 (9): 9754-9768 (September 2023)Maximum sampled conditional likelihood for informative subsampling., and . CoRR, (2020)Imputation estimators for unnormalized models with missing data., , and . CoRR, (2019)Making IoT Data Ready for Smart City Applications., , , , , and . BigComp, page 605-608. IEEE, (2020)Toward smarter service systems through service-oriented data analytics., , , , and . INDIN, page 936-941. IEEE, (2016)Optimization of multiple responses considering both location and dispersion effects., and . Eur. J. Oper. Res., 169 (1): 133-145 (2006)Imputation estimators for unnormalized models with missing data., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 831-841. PMLR, (2020)EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method., , and . Expert Syst. Appl., (2022)Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing., , and . IEEE Trans. Knowl. Data Eng., 34 (8): 3912-3926 (2022)Detecting abnormal behavior of automatic test equipment using autoencoder with event log data., , , , , , , and . Comput. Ind. Eng., (September 2023)