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Palabras clave – provistas por la editorial

machine learning; optical networks; imbalanced data; one-class classification; entropy measure; real-world data; preprocessing; decision table; classification; query set; decision tree; differential cryptanalysis; metaheuristics; symmetric block ciphers; memetic algorithms; DES; simulated annealing; COVID-19; vaccination; agent-based modelling; dynamic stochastic general equilibrium models; scenario analyses; validation of results; stock index forecasting; CEEMDAN; ADF; ARMA; LSTM; hybrid model; classification measure; quality of classification; quality measure; preference-driven classification; fast iterative filtering; parameter adaptive refined composite multiscale fluctuation-based dispersion entropy; rotating machinery; fault diagnosis; short-term demand prediction; bike-sharing; travel characteristics analysis; hybrid TCN-GRU model; distributed data; decision tables; information systems; decision trees; decision rules; tests; reducts; association rules; Pawlak conflict analysis model; independent data sources; coalitions; dispersed data; length; support; greedy heuristics; feature selection; rough sets; action units; automatic translation; sign language; entropy of real data