决策树(Decision Tree)是数据挖掘中一种最基本的分类与回归方法,与其他的算法相比,决策树的原理浅显易懂,计算复杂度较小,而且输出结果易于理解,因此在实际中有着广泛的应用。 一个简单的决策树示例(图片来源:机器学习 (豆瓣)): 决策树可以被认为是一种'if-then'规则的集合。它由节点和有向边组成,内部节点代表...
Decision trees have undergone a number of alterations to deal with the imperfect nature of data measurement and representation. In this paper we present another modification aimed at combining the efficiency of decision tree learning and the simplicity of knowledge representation in decision trees with ...
In data mining there are four main problems, clustering, classifying, regression and dimension reduce, to be discussed. And this issue is mainly about Decision Tree in classification. For some data that we’ve known, calculate the decision tree, and use the tree to deal with new points, tell...
in the sense of having similar values of the target. The decision tree algorithm treats each cell independently. To find a new split, the algorithm tests splits based on all available variables. In doing so, decision trees choose the most important variables for the directed data mining task....
Decision Tree for Business Intelligence and Data Mining Weather forecasting is a vital application in meteorology and has been one of the most scientifically and technologically challenging problems around the w... BD Ville - Decision Tree for Business Intelligence and Data Mining 被引量: 101发表: ...
research makes it a main task to find out the relationship among archaeological data and,accordingly,to study the hidden rules of social and historical development.The application of data mining to archaeology follows the trend.Decision-tree is a typical sorting arithmetic in data mining.被...
machine learning and artificial neural networks. Researchers in these disciplines, sometimes working on quite different problems, identified similar issues and heuristics for decision tree construction. This paper surveys existing work on decision tree construction, attempting to identify the important issues...
Using a stratified random sampling, soil bacterial diversity was measured in 196 soil samples in a forest area where construction of an eco-friendly road was planned. Model accuracy, coherence analyses, and tree analysis were systematically performed, and four-class discretized decision tree (DT) ...
In this way, the data of bidding ability can be obtained. This knowledge is very useful in supporting the generating bidding unit to make decisions and the electric agency, PX and ISO to design an optimal trade project. 展开 关键词: data mining decision tree information entropy power market ...
A variety of techniques have been developed to scale decision tree classifiers in data mining to extract valuable knowledge. However, these aproaches either cause a loss of accuracy or cannot effectively uncover the data structure. We explore a more prom