Design of Student Employment Guidance System Based on Decision Classification Algorithm

Yong-wen Mao
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Abstract

In recent years, with the comprehensive promotion of education reform in China, gradually expanding the scale of universities and colleges, more and more students are recruited over the past years, which also brought great employment pressure to graduates. Therefore, this paper takes decision classification algorithm as the basic basis, builds decision tree, extracts classification rules, and obtains relevant information affecting employment, so as to provide certain decision support for the improvement of employment level and employment rate of college students.
基于决策分类算法的学生就业指导系统设计
近年来,随着中国教育改革的全面推进,高校规模逐步扩大,招生人数比过去几年越来越多,这也给毕业生带来了很大的就业压力。因此,本文以决策分类算法为基本依据,构建决策树,提取分类规则,获取影响就业的相关信息,为提高大学生就业水平和就业率提供一定的决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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