Abstract
To achieve rapid social and economic growth, society has raised expectations for the overall quality and competence of today’s college students in the environment of big data. College students must have a strong spirit of creation and entrepreneurship, as well as a precise level of professional knowledge and practical talents. Based on this backdrop, a weighted K-means clustering method (WK-means) is utilized to investigate the key determinants of college students’ entrepreneurial ability and their interactions with important text content, such as the college student innovation and entrepreneurship competition. To begin, extract a number of characteristics from the sample of entrepreneurial college students, particularly the entrepreneurial ability components. The sample is then divided into two groups. Entrepreneurs who succeed are categorized as positive, while those who fail are classified as negative. The clustering result yields the feature weight of each sample. The weight of each attribute is proportionate to its importance. Second, using the multivariate relationship analysis approach, the correlation between various factors is determined, and the impact of various factors on college students’ entrepreneurial capacity is further investigated. The results of the experiment demonstrate that adaptability and learning ability are the most important characteristics influencing college students’ entrepreneurial aptitude, whereas self-control has little impact.
Highlights
The world has entered the era of big data
This study looked into the factors that influence college students’ entrepreneurial potential through an in-depth examination of entrepreneurial literature and market data
The entrepreneurial ability components used in this study were generated through a comparison of the division of entrepreneurial ability factors among various college students
Summary
The world has entered the era of big data. In 2014, “big data” was cited for the first time in a government work report. Big data has ushered in a plethora of new research and job opportunities for college students. One of the major issues is a dearth of entrepreneurship skills among college students. Many academics have studied the entrepreneurial abilities of college students from various perspectives. Entrepreneurial capabilities are defined by Reference [6] in five dimensions: identifying available opportunities, driving the company to complete the entire process from creation to receipt, conceptual capabilities, policy capabilities, and the ability to apply tools and technologies in specific fields. (1) A machine learning method is utilized to intelligently examine the relevant aspects that affect entrepreneurial capacity, assisting in increasing the relevance and timeliness of government and school-based entrepreneurial education (2) The WK-means clustering technique was proposed and used to analyze the entrepreneurial ability factors of college students. Some recommendations are made for the government and schools to foster the entrepreneurial capacity of college students based on the findings of the study
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