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Improvement and Analysis of ID3 Algorithm in Decision-making Tree

机译:决策树中ID3算法的改进与分析

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For the cooperative system under development, it needs to use the spatial analysis and relative technology concerning data mining in order to carry out the detection of the subject conflict and redundancy, while the ID3 algorithm is an important data mining. Due to the traditional ID3 algorithm in the decision-making tree towards the log part is rather complicated, this paper obtained a new computational formula of information gain through the optimization of algorithm of the log part. During the experiment contrast and theoretical analysis, it is found that IID3 (Improved ID3 Algorithm) algorithm owns higher calculation efficiency and accuracy and thus worth popularizing.
机译:对于正在开发的合作系统,需要使用关于数据挖掘的空间分析和相关技术,以便执行对象冲突和冗余的检测,而ID3算法是一个重要的数据挖掘。由于朝向日志部分的决策树中的传统ID3算法相当复杂,本文通过优化日志部分的算法获得了新的信息增益的新计算公式。在实验对比度和理论分析期间,发现IID3(改进的ID3算法)算法拥有更高的计算效率和准确性,因此值得推广。

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