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Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Again, ELM-HL performs the poorest among all classifiers with 76.04 on accuracy. The C5.0 DT classifier model is used which carries out recursive partitioning on extracted datasets to predict job for a specified user’s input. Association rule mining is used to split the feature vector at each node of the tree to form different branches as shown in ...