We also use the practice problem to evulate the knowledge discovery methods.
应用知识发现方法来解决复杂问题，给出验证知识有效性的实例。
This paper proposes some efficient knowledge discovery methods used in agriculture data, and combining knowledge discovery methods a...
该文提出了几种对农业数据库进行知识发现的有效方法，并将知识发现方法与信息系统紧密结合。
Some methods for dividing continuous attributes in KDD (knowledge discovery in database) and a method based on VDM (value difference metric) are presented.
介绍了在数据库知识发现(KDD)中将连续属性离散化的一些方法，并提出使用值差分度量离散化的算法。
Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.
粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。
The paper focuses on the properties of complex uncertainty system, and associates knowledge discovery theory and methods with prediction theory and methods.
针对复杂不确定性系统特性，将知识发现理论方法与预测理论方法有机结合起来。
The paper is focused on the discovery and representation methods of expert domain knowledge based on knowledge network.
从知识网络的角度，对专家领域知识的发现及表示方法进行了研究。
The latest researches of biomedical literature knowledge discovery, including main issues, accomplishment, and the key methods from text mining perspective, are discussed.
本文对生物医学文献知识发现的研究内容、研究成果以及基于文本挖掘的关键技术诸方面进行了系统的分析和阐述。
Data mining is the core of knowledge discovery in databases. Concept tree method is one of the most important methods. In this paper, presentation of an approach to deal with fuzziness was discussed.
数据采掘是数据库中知识发现的核心，详细描述了数据采掘中概念树方法在模糊性问题中的应用。
Rough Set and Decision Tree, usually used to analyze the data and the formation of predictive models, are important methods of knowledge discovery and learning.
粗糙集和决策树是知识挖掘和学习的重要方法，通常用来分析数据和形成预测模型。
Rough Set and Decision Tree, usually used to analyze the data and the formation of predictive models, are important methods of knowledge discovery and learning.
粗糙集和决策树是知识挖掘和学习的重要方法，通常用来分析数据和形成预测模型。
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