判定树 meaning in Chinese
decision tree
Examples
- On decision tree complexity of boolean function and yao ' s question
布尔函数的判定树复杂性及问题 - Using algorithms of decision - tree , we can analyze customer loss , customer value , sales promotion and other modules , for the purpose of assistant decision - making
作者使用分类决策树归纳算法构建决策判定树，对客户流失、客户价值度、促销等模块进行分析，达到辅助决策的目的。 - The often - used classification is classification by decision tree induction , bayesian classification and bayesian belief networks , k - nearest neighbor classifiers , rough set theory and fuzzy set approaches
分类算法常见的有判定树归纳分类、贝叶斯分类和贝叶斯网络、 k -最临近分类、粗糙集方法以及模糊集方法。 - Judgment - tree method has been applied to solve lots of categorized problems successfully but so far in china it has never been applied into classification and prediction about customers " behavior of banks
判定树分类法已被成功地应用于许多分类问题，但应用于银行的客户行为分类预测研究在国内到目前为止还没有。 - Chapter two : given the data available and this data excavation task , it makes a study method comparison between neural network and judgment - tree . it confirms the latter as the model and presents a brief statement on judgment - tree
第二章：针对得到的实际数据和本次数据挖掘任务，通过与神经网络法的比较，确定判定树法为建模方法，同时对判定树原理进行简要论述。