镇江高专学报2024，Vol.37Issue(3)：97-101,106,6.
基于无监督学习的江苏省艺术类行业就业需求指数归趋分析
Analysis of the trend of employment demand index in the art industry of Jiangsu Province based on unsupervised learning
摘要
Abstract
Based on the visual mining and analysis of art employment data in Jiangsu Province,the spatial distribution characteristics and dynamic identification of the employment trend of the art industry in Jiangsu Province are statically displayed,and the"state"and"potential"of the employment situation of art industry in Jiangsu Province are accurately determined.The employment demand index model of the art industry in Jiangsu Province is constructed by unsupervised learning to analyze the cyclical characteristics of the art industry employment market and the change trend of market supply and demand in Jiangsu Province by taking the employment demand dimension of the art industry in Jiangsu Province from 2010 to 2021.The employment demand index model of the art industry is conducive to enriching the existing employment statistics and reconstructing the employment statistical framework,which is of certain significance for strengthening the statistical monitoring and trend prediction of the employment market and macroeconomic trends in the art industry,and supplementing and enriching the existing government and college enrollment statistics system.关键词
艺术类行业/就业/无监督学习/需求模型/归趋分析Key words
art industry/employment/unsupervised learning/requirement model/trend analysis分类
社会科学引用本文复制引用
曹奇..基于无监督学习的江苏省艺术类行业就业需求指数归趋分析[J].镇江高专学报,2024,37(3):97-101,106,6.基金项目
2023年度江苏省高等学校自然科学研究项目资助(23KJB520001) （23KJB520001）
2023年度江苏省教育科学规划青年专项(C/2023/02/09) （C/2023/02/09）
2023年度江苏省高校毕业生就业创业委托研究项目(JCXM-C-20230901) （JCXM-C-20230901）
2024年度常州市社会科学研究课题(202401943) （202401943）
