• In general, the optimum decision tree can be found by ID3 algorithm.

    一般情况下,ID 3算法可以找出最优决策树。

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  • ID3 algorithm is the most basic algorithm in the decision tree learning, and has a wide application.

    ID 3算法是最基本的决策树学习算法,有很广的应用。

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  • Data mining adopts the improved ID3 algorithm and can meet the demand of load analysis and prediction.

    数据挖掘采用改进ID 3算法,能够满足负荷分析和预测方面的要求。

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  • ID3 algorithm is a classical algorithm in data mining, this algorithm has the worse ability to resist noise.

    ID 3算法是数据挖掘中经典的决策树分类算法,该算法具有抗噪声能力差的缺点。

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  • The algorithm constructs decision tree using an improved ID3 algorithm, and fills the missing data by decision rules.

    该算法应用改进的ID 3算法来构造决策树,利用决策规则对缺失值进行补充。

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  • The optimized ID3 algorithm can process the XML document intelligently, generate the decision rules, and optimize the rules in the limit range.

    该改进的算法可以智能处理XML文档,生成决策规则,并在一定范围内优化规则。

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  • Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.

    基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支,可用于知识的自动获取过程。

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  • For a given incomplete decision table, the algorithm constructs decision tree using the improved ID3 algorithm, and fills the missing data in the process of constructing the decision tree.

    对于给定的不完全决策表,该算法应用改进的ID 3算法来构造决策树,在构造决策树的过程中对遗失值进行补充。

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  • The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.

    把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型,可处理不精确和模糊数据集信息。

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  • According to the character of expected information, the article proposed a new ID3 algorithm of decision trees to reduce the complexity of computing expected information by the convex function.

    根据ID3算法中信息增益计算原理的特点,利用上凸函数的性质提出一种新的改进的ID3算法,减少了信息增益的计算量,进而提高ID3算法中信息增益的计算效率。

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  • According to the character of expected information, the article proposed a new ID3 algorithm of decision trees to reduce the complexity of computing expected information by the convex function.

    根据ID3算法中信息增益计算原理的特点,利用上凸函数的性质提出一种新的改进的ID3算法,减少了信息增益的计算量,进而提高ID3算法中信息增益的计算效率。

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