| 1. | Tree building is a recursive course ( calculate the information of each attribute )
决策树建树是一个递归的过程（通过计算每个属性的信息增益） 。 |
| 2. | Combining the philosophy of clustering and information gain , a discretization algorithm based on distance and information gain is proposed
摘要结合聚类的思想与信息增益性质，给出一种基于距离与信息增益相结合的连续属性离散化方法。 |
| 3. | To solve this problem , we present a new approach on ids algorithm - the information gain of attribute - value pairs in two levels - to optimize the decision tree
为了解决取值偏向的问题，本文在id3算法的基础上提出了属性-值对的两次信息增益优化算法。 |
| 4. | The comparison experiments of speech signals corresponding to different snr and noise type was designed using the measure of complexity behaviors based on the information gain
采用基于信息增益的复杂性行为度量，对含不同噪声类型，以及不同信噪比的各种中英文语音样本进行了对比实验。 |
| 5. | The typical ones include relief - f , information gain and chi - square etc . feature selection was considered as feature selection in supervised learning from traditional view
其中的典型代表有relief - f 、信息增益和卡方检验等。过去传统意义上的属性选择通常是指在有指导学习环境下的属性选择。 |
| 6. | For example , the information gain of 1x forward and backward whirls is high for detecting rotor imbalance and the gains of 1x , 2x and 3x forward and backward whirls are high for detecting stator / rotor rub
使用该方法发现，转子振动的一、二、三阶正进动和反进动量对于不平衡和碰摩故障的信息增益最大。 |
| 7. | Discuss the generation of test strategy for diagnosis based on information gain maximization and conditional entropy minimization . this approach can be used into the testability analysis and the optimization of test strategy for diagnosis
研究了基于信息增益最大和基于条件熵最小的诊断测试策略生成问题，该方法可用于系统的可测性分析、诊断测试策略的优化等方面。 |
| 8. | Thirdly , dm technology is organized into method space . it presents the enhancement to id3 decision tree algorithm , which combined with information gain and property probability . the algorithm is putted into useage of customer member card
将dm方法用于方法空间的设计，对传统的id3决策树算法进行改进，将信息增益的计算方式与属性值的概率相结合，使其更具针对性。 |
| 9. | We employ data from darpa ' 98 to train and test feasibility of our proposed model . from the results of our experimental on the network data , our model achieves high detection rate on average , and low false alarm rate for five typical types of attacks
通过实验我们发现，决策树算法根据信息增益的原理，可以精确地从这两类攻击的内容特征中提取攻击规则，因此对r2l和u2r类攻击有较高的检测率。 |
| 10. | Results of the study are detailed as follows : firstly , relevance analysis is conducted to the record of the xiangjiaba project slope rock mass rheological test , using the technique of information gain of ms analysis services
应用msanalysisservices决策树数据挖掘模型的信息增益技术，基于龙滩水电站边坡岩体室内岩石流变试验数据进行相关性分析，研究了室内试验过程中各因素对岩石变形的关联程度。 |
