摘要
KDD以及DM技术的广泛应用,使人们从大量数据中提取知识成为可能,可是随着处理的数据库规模的不断扩大,现有的挖掘方法就显得无能为力了。文章主要将试验设计中的均匀设计思想应用于数据挖掘问题中,利用均匀设计的选点方法在已有的数据库中挑选出具有代表意义的数据组成新的决策表,再使用已有的挖掘算法对其进行处理,得出最终的挖掘结果。
With the expansion of databases in scale, the current data mining methods turn to be inapplicable. In the paper, the idea of Uniform Design which belongs to the examination design is applied to data mining. The representative data from the database are chosen to construct a new decision making table according to the idea of data selecting in Uniform Design, and then the common data mining methods are used to deal with the new table and work out the result. An experiment is made to verify the effectiveness of the method.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第3期292-295,共4页
Journal of Hefei University of Technology：Natural Science
关键词
均匀设计
抽样试验
数据挖掘
Uniform Design
sample experiment
data mining
