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Improvement and Analysis of ID3 Algorithm in Decision-making Tree

机译:决策树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:对于正在开发的协作系统,需要使用与数据挖掘有关的空间分析和相关技术来进行主题冲突和冗余的检测,而ID3算法是重要的数据挖掘。由于决策树中对日志部分的传统ID3算法比较复杂,因此通过对日志部分算法的优化,获得了新的信息增益计算公式。通过实验对比和理论分析,发现IID3(Improved ID3 Algorithm)算法具有较高的计算效率和准确性,值得推广。

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