| 摘要: |
| 介绍了目前的不完全数据环境下的知识发现研究工作,分两个部分提出了一个不完全数据库中的知识发现方法.首先具体讨论了如何猜测丢失的数据,给出了基于距离的关联规则的定义及挖掘方法.然后在此基础上详细描述了一个不完全数据库中的知识发现算法,分析了算法的复杂度,并给出了相应的实验结果.最后,将所提方法与其他相关方法进行了比较. |
| 关键词: 丢失数据 不完全数据库 知识发现 聚类 基于距离的关联规则 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(69675016) |
|
| An Approach for Knowledge Discovery under the Environment of Incomplete Data |
|
WANG Qing yi,CAI Zhi,ZOU Xiang,CAI Qing sheng
|
| Abstract: |
| The current researches of knowledge discovery are introduced under the environment of incomplete data, and then an approach is presented for knowledge discovery in incomplete databases through the two parts. Firstly, the method of how to guess the missing data is in detail discussed and the definition as well as the mining method of distance based association rule is given. Then based on this, an algorithm is described in detail for discovering knowledge in incomplete databases, the complexity of the algorithm is analyzed and the experimental results are also given. The paper finally concludes with a comparison of the approach proposed in the paper with other related ones. |
| Key words: missing data incomplete database knowledge discovery cluster distance based association rule |
