本文总结了有代表性的决策树算法。
提出了一种逻辑函数化简语义树算法。
An algorithm for logic function minimization called semantic tree is reported in the paper.
基于分类决策树算法，建立了一个挖掘体系。
An intelligent mining system is created based on the decision tree algorithm.
提出了一种基于类别特征矩阵的决策树算法。
An algorithm of the decision tree based on class feature matrix is proposed.
目的研究决策树算法在医学图像数据挖掘中的应用。
Aim To study the application of decision tree algorithm for medical image data mining.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
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。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
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。
This is a success has been through the debugging process tree algorithm, and they hope to help everyone.
本文采用了基于空间分割方法的八叉树算法并对该算法进行了改进。
In this paper, an octree algorithm based on spatial partitioning system is adopted and improved.
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。
Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.
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。
This thesis compares and analyzes the typical decision tree algorithms, the ID3 algorithm and C4.
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。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
该文提出了支持挖掘模型交换和移动通信客户流失分析的决策树算法框架。
This paper proposes a framework for decision tree construction algorithms that supports both model exchange and mobile communication churn analysis.
依据树的逐步生成原理，仿照矩阵运算，提出了求解捷径问题的生成树算法。
On the progressive formation of a tree, the algorithm of solving a shortest path problem is raised in which a matrix computation is imitated.
通过对决策树分类算法的比较，本文采用C4.5决策树算法实现自学习模块。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
联合树算法以其容易理解，适用范围广等特点成为目前应用最多的精确推理算法。
Because Junction tree algorithm is easy to understand and its range of application is broad, it has been the most used widely among the exact inference algorithms.
并描述了从组织协作网到决策树的生成过程，对生成过程的求解采用了优化协作树算法。
The process of generating decision making tree from collaboration net is presented and the algorithms to optimize collaboration tree are adopted to construct the best decision making tree.
通过实验，该算法既能保持原有零树算法良好的压缩品质，而且也改善了图像的视觉质量。
By the tests, the improved algorithm not only bears the effective compression performance of the original zero tree algorithm, but also improves the visual quality of image.
最后，给出了改进的基于划分的聚类方法，以及其中涉及到的最小生成树算法的基本思想。
Last, the partition algorithm which has been improved is proposed, meanwhile, the basic idea of Minimum Cost Spanning tree is presented.
本文用最小生成树算法实现了分布式数据库中的多元连接查询，并进行了算法的分析与设计。
This paper used algorithm of minimum spanning tree to realized multi-join queries of distributed database and provided analyzing method.
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。
Then, the paper emphasizes the theory and method of Decision Tree algorithm and realizes C4. 5 algorithm.
在本文中，探讨了平衡延迟和带宽消耗的算法，提出了改进的最短路径树算法(ASPT)。
In this dissertation, algorithms for generating multicast trees with a trade-off in delay and bandwidth consumption are investigated. The Ameliorated Shortest Path tree (ASPT) is proposed.
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。
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.
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。
First, this paper analyzes degree-constraint minimum diameter spanning tree algorithm - the CT algorithm, and proposes the improved CT algorithm.
另一方面，本文还利用决策树算法，对影响学生就业的因素进行了分析，得到了一些有价值的模式。
And on other hand, the thesis also analyzes the factors that affect the jobs of graduated student by adopting decision tree algorithm, and some valuable models are achieved.
实验方法是分析决策树算法中的多值偏向问题的传统方法，其缺点是需要具备该数据领域的专家知识。
Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.
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。
This essay is researching the Decision Tree Algorithm of Data Mining and the use in the Customer Drain analysis.
在传统的决策树算法中引入标量积协议，既保持决策树算法本身的优点，又满足了保持隐私的需求。
A decision tree classifier was applied and a scalar product protocol was added, so that the need of privacy preserving is satisfied as well as the advantage of decision tree is retained.
在传统的决策树算法中引入标量积协议，既保持决策树算法本身的优点，又满足了保持隐私的需求。
A decision tree classifier was applied and a scalar product protocol was added, so that the need of privacy preserving is satisfied as well as the advantage of decision tree is retained.
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