Comprehensive Analysis of Data Preprocessing and Models in Data Mining

Abstract

Nowadays, the data of the Internet shows explosive growth, in which the massive data contains great economic value. How to deal with and mine data has become an important topic nowadays. In statistics, data mining is often used to build corresponding mathematical models to analyze and process data, so as to get the results. Model to analyze and process the data, so as to get the results people want. This paper summarizes the data processing in the field of data analysis and processing technology. methods in the field of data analysis and processing technology, and first introduces the commonly used data preprocessing methods. On this basis, this paper describes in detail the commonly used data optimization models, predictive In details, this paper describes the commonly used data optimization models, prediction, decision-making models, such as: Linear programming model ,Dynamic programming model. In details, its process in data analysis and processing is detailed from the basic principles, processing steps and practical applications. Finally, we summarize the data preprocessing techniques and model building mentioned throughout the paper. This paper alsolooks ahead to the current challenges that society faces in the data domain, and speculates on future research directions with high relevance.