###
DOI:
:2001.12(10):1516-1524

部分数据缺失环境下的知识发现方法
王清毅,蔡智,邹翔,蔡庆生
(中国科学技术大学计算机科学技术系,安徽合肥 230027)
An Approach for Knowledge Discovery under the Environment of Incomplete Data
WANG Qing yi,CAI Zhi,ZOU Xiang,CAI Qing sheng
()
Abstract
Chart / table
Reference
Similar Articles
Article :Browse 2630   Download 2998
Received:January 13, 2000    Revised:June 26, 2000
> 中文摘要: 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.
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.
文章编号:     中图分类号:    文献标志码:
基金项目:国家自然科学基金资助项目(69675016) 国家自然科学基金资助项目(69675016)
Foundation items:
Reference text:

王清毅,蔡智,邹翔,蔡庆生.部分数据缺失环境下的知识发现方法.软件学报,2001,12(10):1516-1524

WANG Qing yi,CAI Zhi,ZOU Xiang,CAI Qing sheng.An Approach for Knowledge Discovery under the Environment of Incomplete Data.Journal of Software,2001,12(10):1516-1524