大数据挖掘技术在高校专业内涵建设中的应用研究

The Application Research of Big Data Mining Technology in the Professional Connotation Construction of University

针对高校专业内涵建设过程中不易实现量化分析的问题,从专业相关的课程与对口就业关系的角度出发,以教学、就业管理工作中积累的大量数据为基础,采用ID3算法进行挖掘研究,构造了相应决策树并从中挖掘出影响高校学生专业对口就业的各类课程及其影响的强弱程度,这些隐藏的、有价值的知识,为高校创新专业人才培养模式、优化课程体系提供科学的量化依据及参考。

Aiming at the problem of it is not easy to realize the quantitative analysis in the process of pro-fessional connotation construction in university, from the perspective of professional relevant courses and the em-ployment relationship, to accumulate a large amount of data in the management of teaching and employment as the foundation, using the ID3 algorithm for mining research to construct the corresponding decision trees and to dig out the influence of the professing employment of university students and its influence degree on the strength of the all kinds of courses, the hidden and valuable knowledge, innovative professional talent training model for colleges and universities can provide scientific quantitative basis and reference for optimizing the course system.