Research on Big Data Analysis Methods Based on Artificial Intelligence Technology

Abstract

This paper aims to explore big data analysis methods based on artificial intelligence technology and analyze their applications in addressing challenges and issues in the real world. Firstly, an overview of big data analysis and artificial intelligence technology is provided, including their definitions, importance, and application areas. Secondly, a detailed discussion on big data analysis methods based on artificial intelligence technology is presented, covering aspects such as data preprocessing, feature extraction and selection, as well as model establishment and evaluation. Based on this foundation, the paper showcases the practical applications of these methods in domains such as healthcare, finance, and e-commerce through case studies. Lastly, the strengths and limitations of current methods are discussed, along with suggestions for future development directions and methodological improvements. This study aims to provide theoretical guidance and practical experience for research and practice in the field of big data analysis.