Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data

Abstract Advanced analytics are fundamental to transform large manufacturing data into resourceful knowledge for various purposes. In its very nature, such “industrial big data” can relay its usefulness to reach further utilitarian applications. In this context, Machine Learning (ML) is among the ma... View More