classification rules mining 分类规则挖掘
Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.
通过训练数据的分析阐述了分类规则挖掘的方法，初步的实验结果验证了该方法的有效性。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
In order to improve the classification quality of decision system, a strategy of data mining classification rules based on rough approaching approximation measurement in data ware is proposed.
为了提高决策系统的分类质量，探讨了一种在数据仓库中基于粗糙逼近近似度量的挖掘分类规则策略。
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