Abstract
This paper mainly uses data mining and statistical analysis to mine network data and survey data, and studies the transformation and development of K9 education and training institutions under the double reduction policy of Xuzhou City. First, we analyzed the user groups of education and training institutions through text mining and other network big data technologies. The results show that: users pay more attention to family education and strengthen quality education; Then, based on the analysis of the questionnaire data, the results show that the research age, parents' wishes, environmental impact, strength of education and training institutions, and expected demand have a significant impact on whether user groups choose education and training institutions. Finally, it proposes that education and training institutions should transform to camp education, arts and sports education, science education and other quality education.
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