Aiming at the strategies to improve the brand value of fresh products, this paper uses the field research data, official data, public information data in the industry, etc. in the cold fresh meat market as the data basis of the research, and uses cluster analysis to divide the cold fresh meat consumer groups into potential group and main force group, conservative group and follow-suit group. And it uses SPSS and mathematical modeling to analyze the characteristic portraits of the four categories of people, and gives strategies to improve the brand value of fresh products through correlation analysis.
As an emerging practical education, innovation and entrepreneurship education in colleges and universities plays a key role in cultivating innovative talents. However, due to the late start of innovation and entrepreneurship education in China's colleges and universities, the development of innovation and entrepreneurship education is still in the exploratory stage. The Marxist View of Education provides ideas and directions for innovation and entrepreneurship education in colleges and universities. Based on this, this paper discusses the influence of Marxist View of Education on innovation and entrepreneurship education in contemporary colleges and universities. First, the paper explores the internal relationship between Marxist View of Education and innovation and entrepreneurship education, then expounds the dilemma faced by innovation and entrepreneurship education in colleges and universities from the perspective of Marxist View of Education, and in view of the dilemma faced, this paper puts forward strategies from the practical path level.
In recent years, transportation, medical care, energy, and other fields have relied on a number of smart technologies such as the Internet of Things and cloud computing, and the degree of intelligence has continued to increase. As a key part of the future development of cities, education is facing tremendous pressure and challenges. How to use all kinds of smart technologies to promote the informatization of education and create a new era of smarter education is an important mission of current smart education. Decision tree classification is a frequently used technique in data mining. It has the characteristics of fast classification and high efficiency. It is not only used to analyze data but also to make predictions. Professional art education occupies an important position in college education. How to combine decision tree algorithms to develop targeted and effective professional art education and to strengthen the teaching reform and research method innovation of art design has become the current teaching work of colleges and universities. The purpose of this paper is to optimize the teaching mode of art courses in colleges and universities, improve the teaching effect of art classes, and realize the teaching goal of art courses. In this paper, art curriculum teaching experience and the reality of teaching research, through analyzing three local questionnaire surveys of college students, based on the principle of students’ subjectivity from the topic content, organization form, evaluation mode of college art teaching in our student autonomy, initiative, and the role of creative mechanisms are discussed. According to the practical teaching activities of art courses conducted in this paper, the satisfaction degree of college students with art courses is up to 92%, which indicates that this experiment is still relatively successful and significant, and arouses students’ subjectivity to some extent.
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