【摘要】 应用知识发现理论与方法从大型考生信息数据库中提取隐含的、前所未知的、对决策有潜在价值的知识和规则,是当前计算机教育 应用的新课题。根据网上远程考试与评价系统的特点,讨论了挖掘的目标规则类型及其挖掘算法。针对算法的不足,提出了一种新的分ID3类算法多概念层次上基于赋范划分距离的分类算法,简要介绍了在知识发现过程中的应用。--XML更多还原

【Abstract】 Application of KDD technology to extract implicit,previously unknown,and potentially useful rules from very large databases withexaminees’ information is a new task in the computer eductional application category.Based on the characteristics of distance test and evaluation system,we first discuss the result rules’ kinds and relative mining algorithms.Then a new classify algorithm based on normal partition distance at multiple concept levels is addressed to overcome ID3’s shortcoming.Finally application of XML in the complete process of KDD is briefly introduced.更多还原