摘要
数据挖掘技术的飞速发展为高校研究人员提供了一种实证研究的手段。很多高校研究员在高校教学、科研、实习、就业等方面开展数据挖掘的应用研究,对提高高校的教学管理水平、科研水平、毕业生就业率等方面都起到了很好的指导作用。本文以计算机专业为例,采用数据挖掘中的决策树算法,实现了毕业生成绩数据和就业数据的整合研究,并给出了毕业生精准就业的路径。首先实时抽取教务处学生成绩数据与就业中心毕业生回访数据建立学生数据中心,然后采用决策树算法对数据中心的学生各个维度的数据进行分析,找出影响学生就业的各科权值,通过计算加权平均数得出在校学生的能力指标分数。该分数可以为在校学生就业推荐提供参考依据,能够有效地实现毕业生的精准就业。
The rapid development of data mining technology provides an empirical research method for university researchers.Many researchers have applied data mining in college teaching,research,internship,employment,etc.,and have played a very good guiding role in improving the teaching management level,scientific research level,and graduate employment rate.Taking computer science as an example,this paper uses the decision tree algorithm in data mining to achieve a comparative study of graduates’achievement data and employment data,and gives the path of graduates’accurate employment.Firstly,the student data data of the Academic Affairs Office and the return data of the graduates of the employment center are collected in real time to establish a student data center.Then,the decision tree algorithm is used to analyze the data of each dimension of the students in the data center,and the weights of the various subjects affecting the employment of the students are found out.The weighted average gives the student’s ability index scores.This score can provide a reference for student employment recommendation.
作者
任培花
阮超
REN Pei-hua;RUAN Chao(School of Computer and Network Engineering,Shanxi Datong University,Datong Shanxi,037009)
出处
《山西大同大学学报（自然科学版）》
2019年第2期26-29,共4页
Journal of Shanxi Datong University(Natural Science Edition)
基金
山西省高等学校教学改革创新重点项目[J2017093]
山西省高等学校教学改革项目[2015090]
大同市科技局软科学[2016120]
关键词
数据挖掘
决策树
能力指标
数据中心
data mining
decision tree
capability index
data center
