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.
关联规则挖掘是数据挖掘和知识发现中一门重要技术，但基于支持度-置信度框架的关联规则挖掘存在一些问题。
Association rules mining is an important technique in data mining and KDD, but some problems exist in the association rules mining based on support and confidence.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
基于超图映射的数据模型设计具有面向对象的特性，便于对机遇发现相关的信息知识网络进行建模。
The data model design based on hypergraph has an object-oriented character, which is convenient for setting up models for information knowledge network with respect to opportunity discovery.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
个性化检索是基于知识发现的一种服务，作为一项综合技术，它涉及到数据挖掘、知识检索、计算机语言学、信息学等多个领域。
Personalized index, a service based on the knowledge discovery, involves in a range of fields such as data-mining, knowledge-index, computer linguistics, informatics etc.
文章通过对数据仓库的概念以及基于数据仓库的知识发现系统的技术特点的介绍，揭示了基于数据仓库的知识发现应用的优势。
The paper introduces the concept about data warehouse and corresponding technology of knowledge discovery. It shows the advantage of knowledge discovery based on data warehouse.
针对云理论在空间数据挖掘和知识发现中的应用，提出了基于半云和梯形云的空间距离概念的划分方法。
This thesis presents its application in spatial data mining and knowledge discovery, and focuses on the cloud models and their algorithms.
提出了基于数据抽取器的知识发现模型。
In this paper, a knowledge discovery model based on data extractor is proposed.
实验证明利用这种基于属性的知识发现方法处理缺损数据是很有效的。
Attributeoriented knowledge discovery method is proved to be a powerful approach for mining incomplete data in the large database in our experiment of this paper.
数据挖掘是一项较新的数据库技术，它基于大量数据所构成的数据库，从中发现潜在的、有价值的信息——称为知识，用于支持决策。
Data Mining is a newer database technique which aims at discovering potential and valuable pattern that is called as knowledge. The knowledge discovered can be used for decision-making.
在此基础上，开发了基于领域知识的知识发现初始聚焦系统，将该系统应用于铝电解槽生产数据的分析中，取得了良好的效果。
Based on the former reduction algorithm, built the knowledge discovery focus system, the system is used in aluminium electrolysis production data analysis, have achieved good results.
采用基于专家库逻辑推理的试验数据知识提取方法来发现和挖掘试验数据。
The method of expert database logic inference for test data knowledge extracting is used to discover and explore test data.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
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