• 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。

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  • 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。

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  • 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。

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  • Generally, model can be expressed by classification rule, decision tree and mathematical formula.

    通常,模型可以用分类规则、判定树或数学公式表示。

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  • 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。

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  • In this thesis, the thorough study of time serial model, classification rule and association rule is made.

    本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。

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  • 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。

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  • 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。

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  • The calculation of learning is simple, classification rule is simplified, and sample classification right ratio is high.

    样本训练的计算简单,分类规则得到简化,样本的分类正确率高。

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  • Generating classification rule by attribution reduces algorithm. Finally, the documents are classified with multiple knowledge bases.

    运用属性约简算法生成分类规则,最后利用多知识库进行文档分类。

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  • A distributed classification rule mining based on ant colony algorithm is proposed, which is based on distributed database structure.

    基于分布式数据挖掘技术,提出了一种基于自适应蚁群算法的分布式分类规则算法。

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  • 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。

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  • 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。

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  • Now the computer_based classification techniques' study has been focusing on the statistical pattern recognition and the knowledge_based classification rule.

    目前机助分类技术主要着眼于统计模式识别和基于知识的分类决策。

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  • 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。

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  • This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.

    本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。

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  • 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。

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  • 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。

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  • 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。

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  • 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;

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  • 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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  • Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.

    数据挖掘通常涉及到一些标准的任务,包括聚集、分类、回归分析和关联性规则学习。

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  • Architects can begin the business directive refinement process by leveraging the classification and sub-classifications defined in the business rule ecosystem.

    在细化业务指示的过程中,架构师可以先使用业务规则中定义的分类和次级分类。

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  • Select the action rule that is most applicable for the classification that you are working with.

    选择最适用您正在处理的分类的操作规则。

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  • Rule models can be visualized in DesignStudio just like classification or clustering models.

    与分类或集群模型类似,规则模型也可以在DesignStudio 被可视化。

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  • Listing 1 shows the classification file for the part name QualityStage rule set.

    清单1显示了部件名称QualityStage规则集的分类文件。

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  • Click on classification in the rule body, and name this classification, Basic.

    单击规则主体中的Classification,然后将这个分类命名为Basic。

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  • The term business rule is extremely broad and requires further classification. For the purpose of this article, we'll deal with four distinct forms of business rule

    术语业务规则(business rule)非常宽泛,需要进一步分类。

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  • The term business rule is extremely broad and requires further classification. For the purpose of this article, we'll deal with four distinct forms of business rule

    术语业务规则(business rule)非常宽泛,需要进一步分类。

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