Relationship between Business Administration Ability and Innovation Ability Formation of University Students Based on Data Mining and Empirical Research
With the continuous development of science and technology, the scale of education is slowly expanding, but at the same time, what is more important is the quality of higher education. This issue has also become a hot topic of concern for the society nowadays. Higher education, which is at the top of the education chain, has the important task of training talents for society. The cultivation of talents includes not only the ability to innovate but also the ability to manage business. The purpose of this paper is to study and empirically analyze the relationship between business administration competency and innovation competency formation among university students based on data mining (DM). This paper mainly uses the K-means algorithm in DM to extract relevant data and then conducts a questionnaire survey to analyze the innovation ability and business administration ability of university students; the results showed that 24 respondents considered their innovation ability is relatively poor, accounting for 20.98%; 137 respondents considered their innovation ability is average, accounting for 47.9% of the total, nearly half; and 65 respondents thought that their innovation ability is relatively strong. In the end, 60 respondents thought that their innovation ability is very strong and half of the respondents thought that their innovation ability is generally poor. Generally speaking, the tests have a strong ability to innovate. The evaluation is generally average.