Combined with the experience of mathematical model training and competition, some successful applications of multiple regression analysis, principal component analysis and artificial neural network in data mining can be adopted. Taking the national mathematical modeling competition for college students as an example, this paper discusses the application and importance of data processing software Excel, Spss and Matlab in mathematical modeling.

When it is necessary to analyze and study a practical problem from a quantitative point of view, people should use mathematical symbols and language to establish a mathematical model on the basis of in-depth investigation, understanding of object information, making simplified assumptions and analyzing internal laws.

Mathematical modeling is generally used in high-tech and engineering fields, but it has little application in ordinary life. Students participate in mathematical modeling learning and competitions, mainly to cultivate students' mathematical thinking, innovative thinking, logical thinking, teamwork ability and paper writing ability. In addition, if you can win the prize in mathematical modeling, it will be beneficial to the application of undergraduate and graduate schools.

The general process of mathematical modeling: model preparation, model hypothesis, model establishment, model solution, model analysis and model verification.

Mathematical modeling is a mathematical thinking method, which simplifies and abstracts complex practical problems into reasonable mathematical structures by using mathematical languages and methods, establishes quantitative relations reflecting practical problems, and then analyzes and solves problems by using mathematical theories and methods. Mathematical modeling is the bridge and link between mathematical application and life, and mathematics comes from life.