基于决策分类算法的本科毕业生就业形势分析系统设计

Design of undergraduate employment situation analysis system based on decision classification algorithm

学校采用就业形势分析系统来分析每年本科毕业生的就业形势时,由于设置的分类决策规则较为复杂,系统在分析毕业生就业形势时难以理解复杂的规则,导致系统运行过慢,因此基于决策分类算法,设计全新的就业形势分析系统。系统硬件上,重新设计CAN总线通信电路。软件方面,利用决策分类算法,设置一个最精简的系统分类决策规则,从而自动生成本科毕业生就业形势分析结果。将所提系统应用到一所高校的本科毕业生就业形势分析问题中,结果表明,该系统分析就业形势所用时长,比以往系统缩短了97356 ms和70372 ms。由此可见,此次设置的规则更易于被系统理解,可快速得出就业形势分析结果。

The employment situation analysis system is adopted in the universities to analyze the employment situation of undergraduates graduating every year.However,when systematically analyzing the employment situation of the undergraduates,it is difficult for the system to understand the rules due to the complexity of the classification decision⁃making rules,resulting in the slow operation of the system.Therefore,a new employment situation analysis system is designed on the basis of the decision⁃making classification algorithm.The communication circuit of CAN bus is redesigned for the hardware of the system.With the decision⁃making classification algorithm,the most concise classification decision rules are set up for the software system,so the employment situation analysis results of undergraduates are generated automatically.In the experimental test,the designed system is applied to the analysis of the employment situation of undergraduates in a university.The test result shows that the time taken by the system to analyze the employment situation is 97356 ms shorter than the previous system.It can be seen that the rules set up in this paper are more easily understood by the system,so the results of employment situation analysis can be got quickly.