讨论了基于粗糙集理论的分类知识发现中最大泛化规则的生成。
In this paper, the generation of maximally generalized rules in the course of classification knowledge discovery based on rough sets theory is discussed.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
本文的研究着重于知识发现在通信行业客户服务文本记录分类这一问题的应用上。
The study of this text emphasizes on the application of knowledge discovery in the classification of textual records on the customer service in the communication industry.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。
Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.
提出了基于知识发现和决策规则基础的盐碱地GIS和遥感分类的方法。
This paper presents the classification of saline soil method, based on knowledge discovery and decision supporting rule base systems using remotely sensed data and GIS.
在分析了客户知识发现的含义和客户知识分类的基础上，提出了一种客户知识发现的分析方法。
On the basis of analyzing the customer knowledge discovery and customer knowledge classification, an approach to customer knowledge discovery is presented.
随着宇宙的知识已经成为一个合法的调查对象，分类理论家们已经发现，这是一个更复杂的现象比以前应该。
As the universe of knowledge has become a legitimate object of investigation, classification theorists have discovered that it is a much more complex phenomenon than was previously supposed.
信息系统的知识发现问题本质上是按照属性特征将对象进行分类的问题。
The knowledge discovery of information system essentially is the problem that how to classify the objects according to the characteristic of attributes.
数据挖掘是知识发现领域的一个重要问题，粗糙集理论是一种具有模糊边界的数据挖掘方法，它被广泛应用于决策系统的分类规则提取中。
Data mining is an important problem in KDD, and Rough set as a theory of set with fuzzy boundary is widely applied to infer classification rules from decision system.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
分类规则发现则是通过对训练样本数据集的学习构造分类规则的过程，是数据挖掘、知识发现的一个重要方面。
Classification rules discovery is a procedure to construct a classifier through studying the training dataset. It is a very important part of data Mining and Knowledge discovery.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
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