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...
One of the most successful algorithms for mining data streams is VFDT. We have extended VFDT in three directions: the ability to deal with continuous data; the use of more powerful classification techniques at tree leaves, and the ability to detect and react to concept drift VFDTc system can...
Decision trees are one of the most powerful directed data mining techniques, because you can use them on such a wide range of problems and they produce models that explain how they work. Decision trees are related to table lookup models. In the simple table lookup model described in Chapter ...
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...
Data Mining - Decision Tree (DT) Algorithm Decision tree A decision tree is pruned to get (perhaps) a tree that generalize better to independent test data. (We may get a decision tree that might perform worse on the training data but generalization is the goal). See Information gain and...
Decision tree (decision tree), also known as decision tree is a kind of information theory-based, decision tree data structure based on this classification algorithm. Categorized the decision tree in the field of data mining has been studied for many years, and had a lot of algorithms, such ...
One widely used knowledge-discovery technique is a decision-tree inducer that generates classifiers in the form of a single decision tree. As the number of... N Chang,Sheng,OR Liu - 《Informs Journal on Computing》 被引量: 3发表: 2008年 Decision Tree-Based Data Mining and Rule Induction ...
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 ...
Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams Random Forest is a classical ensemble method used to improve the performance of single tree classifiers. It is able to obtain superior performance by incre... Diego Marron,Albert Bifet,Gianmarco De Francisci ...
The experimental results reveal that i+Learning method offers the promise of making decision trees a more powerful, flexible, accurate and valuable paradigm, especially in medical data mining community. 展开 关键词: Medical data mining Incremental learning Learning regarding attributes Decision tree ...