Feature Extraction Techniques for Big Data Analytics: A Comprehensive Review

Abstract

This paper explores the role and impact of artificial intelligence (AI) and machine learning (ML) in feature extraction techniques for big data analytics. The integration of AI and ML has revolutionized various domains, including predictive maintenance, human capital management, visual question answering, healthcare diagnosis, and more. Through a review of recent literature and case studies, this paper highlights the advancements achieved by leveraging big data analytics, ML algorithms, and innovative feature extraction strategies. The analysis encompasses the advantages, outcomes, and limitations associated with these technologies, emphasizing the need for ongoing research and development to address existing challenges and unlock the full potential of AI and ML in big data analytics.