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- Pruning is an important domain of decision tree induction,which can simplify and populate decision trees and avoid overfitting. 决策树剪枝的作用是简化决策树,提高决策树的泛化能力,避免对训练集的过适应,是决策树学习中的重要研究内容。
- decision tree induction 决策树归纳
- fuzzy decision tree induction 模糊决策树归纳
- On the decision tree inductive algorithm based on the rough set theory 基于粗集的混合变量决策树构造算法研究
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- A decision tree is a graphic model of a decision process. 决策树是描述决策过程的一种图形。
- Quinlan, J.R. Induction of Decision Trees, Machine Learning, 1:81-106, 1986. 胡守仁;余少波;戴葵;(1993).;神经网络导论
- In the Grid pane, click Source and then select TM Decision Tree mining model. 在“网格”窗格中,单击“源”,然后选择“TM Decision Tree挖掘模型”。
- Decision trees can be used for prediction. 决策树可用于进行预测。
- Click Select Model, expand Targeted Mailing, and then choose TM Decision Tree. 单击“选择模型”,展开“目标邮件”,再选择TM Decision Tree。
- The other popular technologies for data mining include decision trees, rule induction, data visualization and nearest-neighbor analysis. 用于数据开采的其它流行技术包括决策树、规则归纳、数据可视化和最近邻域分析等。
- This viewer contains two tabs, Decision Tree and Dependency Network. 此查看器包含两个选项卡,即“决策树”和“相关性网络”。
- Evolutionary decision tree method has the advantage of global search. 演化决策树方法将传统的决策树算法与演化算法相结合,具有全局搜索的优点。
- Decision tree, neural networks and Bayesian networks are the main tools of KDD. 决策树、神经网络、Bayesian网络等是当前知识发现的重要工具。
- The other popular technologies for data mining include decision trees,rule induction,data visualization and nearest-neighbor analysis. 用于数据开采的其它流行技术包括决策树、规则归纳、数据可视化和最近邻域分析等。
- For example, in a decision tree mining model the viewer will use Cyan to display continuous attributes. 例如,在树挖掘模型中,查看器将使用青色来显示连续属性。
- On the Decision Tree tab, you can examine all the tree models that make up a mining model. 在“决策树”选项卡上,可以检查构成挖掘模型的所有树模型。
- When you build a decision tree model, Analysis Services builds a separate tree for each predictable attribute. 生成决策树模型时,Analysis Services将为每个可预测属性生成一个单独的树。
- One of the best ways to analyze a decision is to use so-called decision trees. 所谓决策树是进行决策分析的最佳方法之一。
- The network uses rules that it infers from patterns in data.ther popular technologies for data mining include decision trees, rule induction, data visualization and nearest-neighbor analysis. 而神经网络使用规则,从数据中的模式进行推理。用于数据开采的其它流行技术包括决策树、规则归纳、数据可视化和最近邻域分析等。
