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。
This thesis compares and analyzes the typical decision tree algorithms, the ID3 algorithm and C4.
本文比较和分析了几种典型的决策树算法，着重对ID 3算法和C4。
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。
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。
A decision tree by using for ID3 algorithm has been established, which evaluates the customer's credit.
并按照ID 3算法建立了决策树数据挖掘模型的例子，用于分析评估客户资信。
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。
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。
This text is in studying existing ID3 algorithm foundation, design a ID3 classifying device in common use, have realistic meanings.
本文在研究了现有的ID3算法基础之上，设计了一个通用的ID3分类器，具有现实的意义。
The experimental result had indicated, this algorithm could better classify, and compared with the result produced by the ID3 algorithm.
实验结果表明，该算法能够较好的进行分类，并对比了ID 3算法给出的结果。
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。
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。
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。
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。
By using the method to improve the ID3 algorithm, experiments show that the algorithm generates smaller decision tree and USES less training time than the algorithm using pre-pruning method.
利用该方法对基本ID 3决策树算法进行了改进。分析和实验表明，与先剪枝方法相比，该方法能进一步减小决策树的规模和训练时间。
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。
Compared with the classical ID3 algorithm through an example, the former can reduce the decision tree at the same time of making sure of improving classification accuracy in some certain problem.
通过实例将前向决策树算法与经典的ID 3算法进行了比较，结果表明针对某些特定的问题前者在保证分类精度不降低的同时也简化了决策树。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
Adding these methods into ID3 makes the algorithm be able to deal with both consistent and inconsistent data properly.
将这些方法结合进id 3算法，使算法对相容和不相容数据均可进行有效地处理。
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。
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。
Information gain is the measurement of the attributes selection in classical decision tree algorithm-ID3, but the attributes with high information gain is not always the valuable attributes.
传统的ID3决策树算法以信息增益作为属性选择的准则值，但是信息增益大的属性并不一定就是有价值的属性。
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。
The algorithm of ID3 usually leans to select attributes which value much more, and can't handle continuous data, and is sensitivity to the noise.
ID 3算法往往偏向于取值较多的属性，不能处理连续数据，对噪声也较为敏感。
This paper proposes a detection algorithm names D-ID3 that is based on danger theory and ID3 classification algorithm.
该文提出一种融合危险理论和ID 3分类算法的检测算法d -ID3。
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。
ID3, as a representative decision-making algorithm, has been widely applied in various fields.
ID 3作为代表性的决策算法已广泛应用与各种领域。
Data Mining Source ID3 decision tree algorithm, one of the classic algorithm.
数据挖掘中的ID 3算法源码决策树的经典算法之一。
Data Mining Source ID3 decision tree algorithm, one of the classic algorithm.
数据挖掘中的ID 3算法源码决策树的经典算法之一。
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