摘要
决策树ID3算法是经典的数据挖掘分类算法,从引入专业领域的经验值、简化属性增益值的运算量、设置剪枝阈值这三个方面对算法进行改进。选取部分大学生足球运动训练样本集,参考体育专家根据经验给出的属性权重,快速且合理地形成决策树,相比与原ID3算法分类结果一致,但效率得到明显提高。
Decision tree ID3 algorithm is a classical data mining classification algorithm. Improves the algorithm from three aspects: introducing experience value in professional field, simplifying the calculation amount of attribute gain value and setting pruning threshold. Selecting some sample sets of College Students' football training, referring to the attribute weights given by sports experts according to experience, the decision tree can be formed quickly and reasonably. Compared with the original ID3 algorithm, the classification result is consistent, but the efficiency is improved obviously.
作者
迟殿委
CHI Dian-wei(Shandong Vocational College of Foreign Affairs Translation, Weihai 264504)
出处
《现代计算机》
2019年第17期43-45,共3页
Modern Computer
关键词
ID3
决策树
分类
数据挖掘
ID3
Decision Tree
Classification
Data Mining
