基于Apriori算法的高校状态数据分析

Analysis of University State Data Based on Apriori Algorithm

教育是国之根本,国民教育水平也是衡量国家科技、综合国力和人口素质的特征之一。近年来,我国高等教育在校园规模、招生数量、师资配备、财政性教育费用支出、科技成果和论文产出量等各方面持续增长,实现了飞跃式发展,但大学生在人口总量中所占比例依然很低。高等教育系统也出现了地域化差异过大、师生比例不协调、科研资金不足等问题。本文从高校基本现状、国民经济总况、科研成果、社会基本保障4个大方面入手,选取本硕博在校生增长速度、成人本专科在校生数量、国民总收入增长速度、科技论文增长速度、失业率等18个指标,共291个数据,使用Apriori关联规则算法进行挖掘,并对结果进行分析。

Education is the foundation of a country,and the level of national education is also one of the characteristics of measuring national science and technology,comprehensive national strength and population quality.In recent years,China's higher education has continued to grow in terms of campus scale,enrollment,teacher allocation,financial education expenditure,scientific and technological achievements and paper output,etc.,and has achieved a leap forward development.However,the proportion of college students in the total population is still very low.There are also some problems in the higher education system,such as the large regional differences,the uncoordinated proportion of teachers and students,and the shortage of scientific research funds.This paper starts from four aspects:the basic situation of colleges and universities,the general situation of national economy,scientific research achievements and social basic security.It selects 18 indexes,such as the growth rate of undergraduate students,the number of adult college students,the growth rate of gross national income,the growth rate of scientific papers,and the unemployment rate,and uses the Apriori association rule algorithm to mine and analyze the results.