基于决策树算法在高校招生决策系统的应用与研究

Application and Study of Enrollment Decision System in College Based on the Decision Tree Algorithm

随着高校生源质量的下降,提高高校考生的报到率是当务之急.分析影响报到率的条件,预测报到结果,能够为院校招生教学等工作提供有价值的参考依据.结合数据挖掘技术中决策树ID3算法建立决策树模型,并结合BMH模式匹配算法及朴素贝叶斯方法对ID3模型结论进行验证,对提高报到率具有一定的实用价值.

With the decrease of college students＇ quality,it is a task of top priority to improve the registration rate of college examinees. Analyzing influence factors of the registration rate and predicting the results of the registration could provide a valuable reference for enrollment and teaching work in colleges. The decision tree model was constructed based on the ID3 algorithm of decision tree of data mining technology,and the conclusions of ID3 model were verified based on BMH pattern matching algorithm and naive Bayesian method,all of above have important significance and practical application value in improving the registration rate.