Prazo para submissão: 15 May 2025
Data de Notificação: 01/04/2025
Editora: Elsevier
Revista: Systems and Soft Computing
Detalhes:
With the rapid proliferation of Big Data, organizations and researchers are increasingly turning to advanced computational methods to address the challenges associated with processing, analyzing, and deriving insights from these vast data sets. Hybrid Soft Computing Methods (HSCMs) offer a powerful, flexible approach by combining fuzzy logic, evolutionary algorithms, neural networks, and other soft computing techniques to manage the complexity and uncertainty inherent in Big Data.