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A hybrid genetic algorithm-fuzzy c-means approach for incomplete data clustering based on nearest-neighbor intervals., , и . Soft Comput., 17 (10): 1787-1796 (2013)Imputations of missing values using a tracking-removed autoencoder trained with incomplete data., , , , и . Neurocomputing, (2019)Client-Centric Adaptive Scheduling of Service-Oriented Applications., , и . J. Comput. Sci. Technol., 21 (4): 537-546 (2006)Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values., , , и . ISNN (1), том 11554 из Lecture Notes in Computer Science, стр. 223-231. Springer, (2019)The linguistic modeling of interval-valued time series: A perspective of granular computing., , , , , и . Inf. Sci., (2019)A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine., , , и . Knowl. Based Syst., (2019)The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach., , , и . IEEE Trans. Syst. Man Cybern. Syst., 52 (10): 6326-6338 (2022)Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm., , , , , , , и . Soft Comput., 26 (6): 3075-3089 (2022)Online rescue method based on offline learning of dynamics knowledge for launch vehicles under thrust-drop fault., , , и . Appl. Soft Comput., (2022)Improving XML Data Quality with Functional Dependencies., и . DASFAA (1), том 6587 из Lecture Notes in Computer Science, стр. 450-465. Springer, (2011)