Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.
实验表明，基于混合遗传算法的分类规则挖掘方法能够从数据集中发现一个简洁、准确、易理解的规则集。
The final evaluation of accuracy will improve the classification rule.
最终的精度评价可以进一步完善分类决策。
The 1-Nearest-Neighbor Rule (1-NN) is the simplest and most natural classification rule.
最邻近法则（1-NN）是最简单和最为自然的分类法则。
The precision of classification rule is decided by the construction of classification algorithm.
分类规则的精度取决于分类算法的构造。
It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
Its inherent categorised characteristic makes it especially suited to finding the classification rule.
它的内在的分类特点使得它尤其适合于发现分类规则。
The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.
结合文本分类规则抽取的特点，给出了近似规则的定义。
The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。
The results demonstrate that the methodology can classify the customers effectively, extract the classification rule and enhance the classification accuracy.
通过实例验证了这种方法能够有效地对客户进行细分、提取分类规则，并提高了分类准确性。
A new sampling method is proposed, which USES the latest technologies of database. It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
A strategy for finding smallest reduction of information system is studied by using concept of core in rough set theory. A method of discovering classification rule in databases is proposed.
研究了利用粗糙集理论中核的概念，求取信息系统的最小简化策略，给出了从数据库中发现分类规则的方法。
Based on the classification rule, users are divided into different groups. Studying users' interest feature helps to recommend reference resources accurately to users with similar preference.
分类规则用来实现对学生用户的分类，通过对用户的兴趣特征进行学习，有利于将资源准确推荐给具有相似爱好的用户。
Then the decision tree and class association rules mining are used on the video attribute database to extract a decision tree classification rule set and a class association rule set respectively.
然后分别使用决策树、分类关联规则等技术对视频属性数据库进行数据挖掘，提取出决策树分类规则集和分类关联规则集；
To solve the problem, the concepts and formal definitions including direct classification schema, tree classification schema, classification rule, and family constraining expression were presented.
为了解决这个问题，给出了直接分类模式、树分类模式、分类法则和科目约束表达式等概念和形式化定义。
To solve the problem, the concepts and formal definitions including direct classification schema, tree classification schema, classification rule, and family constraining expression were presented.
为了解决这个问题，给出了直接分类模式、树分类模式、分类法则和科目约束表达式等概念和形式化定义。
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