A comprehensive survey on feature selection in the various fields of machine learning

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 52; no. 4; pp. 4543 - 4581
• Main Authors: Dhal, Pradip, Azad, Chandrashekhar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2022; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computer Science; Domains; Feature selection; Machine learning; Machines; Manufacturing; Mechanical Engineering; Processes; Unstructured data; Feature selection; Classification; Machine learning

In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing data’s dimensionality and enhancing any proposed framework’s performance. However, in real-world applications, FS work suffers from high dimensionality, computational and storage complexity, noisy or ambiguous nature,...