An Overview and Prospects Analysis of Data Mining Technology

Abstract

Data mining is the process of extracting useful information and knowledge from mass data. Through statistics, machine learning, pattern recognition and other technologies, data is analyzed and processed to discover potential pat-terns and laws. This paper provides an in-depth overview of the basic concepts and main technologies of data mining, including data association, data classi-fication, and clustering. The application of data mining in the fields of Inter-net, finance, medical treatment and environmental meteorology is discussed in detail. This paper also examines the talent requirement and development status of data mining technology, and points out the current challenges, such as data privacy protection, data quality management, model interpretability and usa-bility. This paper aims to help readers gain a comprehensive understanding of the significance of data mining technology and its extensive application pro-spects.