Decision tree is one of the most popular classification tools.
决策树方法是分类中最常用的工具之一。
参考来源 - 决策树生成系统Select decision tree method torealize after learning data mining concept, model and classification.
首先介绍了数据挖掘技术的概念、模型以及分类,经过分析,决定选取决策树方法来具体实现。
参考来源 - 数据挖掘技术在人力资源管理中的应用Identification of communication signals is one of the hot study topics. Firstly,the algorithm of analog signal modulations recognition is studied,the signal pre-processing,feature parameters estimate,and the selection of decision tree are studied in detail.
通信信号的识别一直是人们重点研究的热点课题之一,首先研究了模拟信号的识别算法,详细研究了信号预处理、特征参量的提取以及判决树的选择问题。
参考来源 - 基于FPGA的模拟信号识别系统The research indicated that "Decision Tree" technology can be used to the design and reconstruction of the petrochemical industry water network, at the same time, it provided profitable suggestion for other industries.
研究表明,“树型法”理论可以应用于石化行业用水网络系统的设计和改造,并为其它行业的用水节约和废水减量提供了借鉴。
参考来源 - 石化行业用水网络系统分析The research indicated that "Decision Tree" technology can be used to the design and reconstruction of the petrochemical industry water network, at the same time, it provided profitable suggestion for other industries.
研究表明,“树型法”理论可以应用于石化行业用水网络系统的设计和改造,并为其它行业的用水节约和废水减量提供了借鉴。
参考来源 - 石化行业用水网络系统分析·2,447,543篇论文数据,部分数据来源于NoteExpress
N a treelike diagram illustrating the choices available to a decision maker, each possible decision and its estimated outcome being shown as a separate branch of the tree 决策树形图; 显示决策者所有选择的树形图,任何可能的决定及其预期结果都以树的分枝被标示出
Make a decision tree for yourself.
为你自己做一个决策树(图表)。
I'm using the term decision tree here loosely.
在此,我较为随意地使用术语决策树。
Figure 2-proxy server traversal decision tree.
图2——代理服务器遍历决策树。
What's the complexity of this decision tree solution? Well, in the worst case, we're enumerating every possibility of in and out.
决策树解决方法的复杂度是多少?,在最糟的例子中得列举,所有可能的输入和输出。
And we're going to do this initially by looking at a straightforward implementation based upon what's called the decision tree.
我们将要做的是看看一种,直截了当的执行方案,这种方案是基于决策树的。
And then I'm going to just return the bigger of the two. Little bit complicated, but it's basically just implementing this decision tree.
我会计算总价值,然后我会返回两者中的较大值,有点小复杂,但是它就是按照这个决策树在运行。
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