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- W3048999770 abstract "In general, colleges and universities regularly conduct psychological health education tests for students in order to analyze students’ mental health problems, but the amount of information obtained from them is relatively small, resulting in waste of resources. This paper mainly studies the relationship analysis model of college students’ mental health education and innovation ability based on association rule analysis. This paper uses the Apriori algorithm, a classic mining algorithm of association rules in data mining, and uses the student’s mental health test result database as the research object to mine the correlation between students’ mental health factors and creative ability, and provides active help for the work of educators. Studies have shown that the current proportion of college students with mental health disease in China has reached 30%, and it is still increasing year by year. Attaching importance to health education is an incumbent responsibility of the school. Only by attaching importance to the sound and healthy psychological education of students, can we promote the all-round development of students, enable students to set positive life goals, cultivate a positive and optimistic mentality, and nurture unlimited creative power and training Positive creative motivation." @default.
- W3048999770 created "2020-08-21" @default.
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- W3048999770 date "2020-08-13" @default.
- W3048999770 modified "2023-09-28" @default.
- W3048999770 title "Relationship Analysis Model of College Students’ Mental Health Education and Innovation Ability Based on Association Rule Analysis" @default.
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- W3048999770 doi "https://doi.org/10.1007/978-3-030-53980-1_136" @default.
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