Author(s)

Shasha Liu

Corresponding Author

Shasha Liu

ABSTRACT

This article aims to explore the innovative application of algebraic method in big data analysis and its optimization strategy. This article expounds the background of the era of big data and its influence on social economy, scientific research and other fields, and emphasizes the importance of algebraic method as a mathematical tool in data analysis and its potential innovative value. Based on this, this article deeply studies the application of algebraic method in data preprocessing, data mining and big data visualization, and puts forward a series of optimization strategies for algebraic method, including algorithm optimization, model optimization and system integration and optimization. The research shows that algebraic methods have shown great application potential in big data analysis. Through innovative application and optimization strategy, the practicability and expansibility of algebraic method in big data analysis can be improved. Algebraic method improves the efficiency of data processing and provides us with more accurate and comprehensive data analysis results. Its application prospect is broad, and it will be combined with more cutting-edge technologies in the future to make greater contributions to the development of data science.

KEYWORDS

Algebraic method; Big data analysis; Optimization strategy