This paper presents a knowledge node based coureseware model on organizing its content, at the basis of having analyzed the structure of courseware,knowledge node and its character,field knowledge database,student model,and teaching strategy.
本论文在分析课件的结构、知识点及其特性、学科知识库、学习者模型、教学策略的基础上，提出了基于知识点的课件组织模型；本文所做的工作对课件如何根据学习者的个人情况，指导学习者的知识点的学习具有一定的理论和实用价值。
参考来源 - 基于知识点的课件组织的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Data mining is a theory forward in the field of database and decision-making information, It is core of the knowledge discovery.
数据挖掘是数据库和信息决策领域的一个理论前沿，是知识发现的核心部分。
This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.
围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。
The knowledge database and inference engine of the system are separate, so it is universal for medicine assist field.
该系统的知识库与推理机相分离，实现了其在医疗辅助领域的通用性。
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