Red and black tree algorithm test operation.
红黑树的算法试验作业。
About Data Mining ID3 decision tree algorithm code.
说明：关于数据挖掘中的决策树id3算法的代码。
The model is a generalization of conventional binary tree algorithm.
模型是传统的二元树形算法的推广。
In data mining, decision tree algorithm is a key research direction.
在数据挖掘中，决策树方法是一个重点研究方向。
An intelligent mining system is created based on the decision tree algorithm.
基于分类决策树算法，建立了一个挖掘体系。
Aim To study the application of decision tree algorithm for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
This paper referred ALOHA algorithm and tree algorithm respectively, and compared them with each other.
分别简要介绍了几种ALOHA算法与树形算法，并对ALOHA算法与树形算法作了简要的比较。
This is a success has been through the debugging process tree algorithm, and they hope to help everyone.
这是一个已经通过调试成功的二叉树算法程序，希望对大家有帮助。
Then, the paper emphasizes the theory and method of Decision Tree algorithm and realizes C4. 5 algorithm.
随后，着重分析了决策树算法的理论背景以及实现步骤，并给出了C4.5算法的伪码实现。
This essay is researching the Decision Tree Algorithm of Data Mining and the use in the Customer Drain analysis.
本文主要是研究数据挖掘中的决策树算法以及决策树算法在具体的小灵通流失分析中的研究与分析。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
Results The decision tree algorithm ID3 and C4.5 for medical image data mining are realized, the experiment results are given.
结果实现了ID3和C4.5算法对图像数据的分类，获得了分类的实验结果。
There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.
现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。
The decision tree algorithm including several classifiers was put forward, which can extract water bodies effectively and easily.
经过研究，发现用决策树分类方法，在各节点设计不同的分类器，可以有效地提取山区中的水体。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
实验结果表明，应用GP决策树算法能够正确完成对趋势预测模型的选择。
Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.
决策树算法通过构造精度高、小规模的决策树采掘训练集中的分类知识。
Meanwhile it describes the decision tree classification algorithm in detail, analyzes the ID3, C4.5 and other prevalent decision tree algorithm.
同时详细的阐述了决策树分类算法，并对比较流行的决策树算法id3、C4.5等算法进行详细分析与比较。
The advanced redundant tree algorithm reduces the number of nodes in multicast tree and the run time compared with the redundant tree algorithm.
改进的冗余树算法同冗余树算法相比不但有效的降低了组播树中节点数目，而且其计算时间也相对较少。
First, this paper analyzes degree-constraint minimum diameter spanning tree algorithm - the CT algorithm, and proposes the improved CT algorithm.
首先，本文有效的分析了度受限的最小直径生成树算法-CT算法，并提出了改进的CT算法。
Most of the Spanning Tree Algorithm(STA) failures occur due to the excessive loss of BPDUs causing the blocked ports to transition to forwarding mode.
大多的生成树算法（STA）失败发生由于过多的丢失BPDU导致阻塞端口转换为转发模式。
To make more scientific decision, an improved decision tree algorithm weighted ID3 is proposed and applied into the determination of aluminum tapping volume.
为提高决策的科学化程度，提出了一种改进的决策树生成算法加权id3，并将其应用于铝电解生产中出铝量的设定。
Typically, the fuzzy decision tree algorithm is an improvement of the crisp decision tree algorithm, and is an extension of the crisp decision tree algorithm.
通常，模糊决策树算法是在清晰决策树算法的基础上进行改进得到的，是对清晰决策树算法的扩展。
This paper presents an extended double list storage structure based on a double list storage structure and then applies it to the minimum spanning tree algorithm.
在图的一种双链式存储结构的基础上提出了一种扩展的双链式存储结构。
This paper presents an extended double list storage structure based on a double list storage structure and then applies it to the minimum spanning tree algorithm.
在图的一种双链式存储结构的基础上提出了一种扩展的双链式存储结构。
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