按照分类规则，湿垃圾必须放进湿垃圾桶，袋子必须放进干垃圾桶。
According to the sorting rules, the wet garbage must go in the wet waste bin and the bag must go in the dry waste bin.
图13显示了新的CB分类规则集。
下一步，我们需要创建CB分类规则。
分类规则的精度取决于分类算法的构造。
The precision of classification rule is decided by the construction of classification algorithm.
提出一种面向分类规则提取的分层抽样算法。
A stratify sampling algorithm for extracting classification rules is proposed in the dissertation.
它包含了字符编码、日期／时间符号、分类规则以及度量系统。
This includes character encoding, date/time notation, sorting rules and measurement systems.
服务策略由一组分类规则、一个性能目标和一个重要性级别构成。
Service policies are comprised of a set of classification rules, a performance goal, and an importance level.
通常，模型可以用分类规则、判定树或数学公式表示。
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。
Generally, the learned model can represent by classification rules, decision trees, or mathematical formulae.
性能目标通常是诸如符合分类规则的所有请求的平均响应时间目标。
The performance goal is usually something like an average response time goal for all requests that match the classification rules.
结合文本分类规则抽取的特点，给出了近似规则的定义。
The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.
下一步，我们需要通过创建(或修改)工作负载分类文档来定义分类规则。
Next we're required to define classification rules, by creating (or amending) a Workload classification document.
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。
The calculation of learning is simple, classification rule is simplified, and sample classification right ratio is high.
最后，选择规则的同步融合策略实现多数据源中的分类规则挖掘。
Then the method of synchronous amalgamating is chosen to implement the mining of classification rules from multiple data sources.
为了自动获取分类规则并构建高性能的分类系统，研究了一种新方法。
In order to acquire classification rules automatically, and to build a high performance classification system, a new method has been studied.
文章引入了广义决策树的概念，实现了分类规则集和决策树结构的统一。
The introduction of generalized decision tree(GDT) realized the unification of classification rules and decision tree structure.
最后通过实例表明，该集成算法能够以较高的效率发现良好的分类规则。
Finally, an example showed that this integrate algorithm can be used to find better classification rules with a higher efficiency.
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。
In this thesis, the thorough study of time serial model, classification rule and association rule is made.
时间序列模式、分类规则和关联规则挖掘是当前数据挖掘研究中一个热点。
It is a hotspot that the data mining of time serial model, classify rule, association rule in the data mining study currently.
改进了一种粗糙集决策表的值约简算法，并将其应用到文本分类规则的提取中。
A reduction algorithm based on rough set is improved and then applicated to extract the rules of text categorization.
决策树是一个类似于流程图的树结构，主要用途是提取分类规则，进行分类预测。
Decision tree, as a flow chart, is structure of a tree, which is mostly used in finding classification rules and prediction of classification.
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 paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
ACGCCR分类规则在压缩存储表现、预测准确度、算法鲁棒性等方面性能表现良好。
ACGCCR classification rules have better compact storage performance, stronger predictive accuracy and algorithmic robust capability.
针对文奉分类中的规则抽取问题，提出一种基于多种群协同优化的文奉分类规则抽取方法。
For the problem of rule extraction in text categorization, a novel rule extraction approach to text categorization based on multi-population collaborative optimization was proposed.
电子商务的出现和迅猛发展使传统国际税收协定所得分类规则遇到了前所未有的困难和挑战。
The appearance and rapid development of the electronic commercial affairs challenge the income classified rule of the traditional international tax agreement.
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。
The results demonstrate that the methodology can classify the customers effectively, extract the classification rule and enhance the classification accuracy.
利用该算法得到的分类规则，可以较好地反映条件属性集随时间动态变化对系统状态的影响。
The result of the algorithm can reflect the effect which the changes of conditional attributes make on the states of the systems.
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。
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。
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.
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