Decision Tree is a useful method of data mining.
决策树是数据挖掘中的常用方法。
Decision tree is one of the important Categorising Data Mining methods.
决策树是分类数据挖掘的重要方法。
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。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
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。
Decision tree is a convenient and practical method for data mining.
决策树方法是数据挖掘的一种方便而实用的方法。
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。
Absrtact: The decision tree is a usual method of classification in data mining.
摘要：决策树是数据挖掘任务中分类的常用方法。
Noise data is the main factor affecting the training efficiency and quality of decision tree.
噪音数据是影响决策树训练效率和结果集质量的重要因素。
Decision tree is an important method for data mining as well as induction learning.
决策树是数据挖掘和归纳学习的重要方法。
Decision Tree Apply Model to Test Data Test Data Start from the root of...
分类阶段从根开始，按照决策树的分类属性逐层往下划分，直到叶节点，获得概念。
Decision Tree Apply Model to Test Data Test Data Start from the root of...
分类阶段从根开始，按照决策树的分类属性逐层往下划分，直到叶节点，获得概念。
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