On issues of instance selection

被引：136

作者：

Liu, H ^{[1
]}

Motoda, H

机构：

[1] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ 85287 USA

[2] Osaka Univ, Inst Sci & Ind Res, Osaka, Japan

来源：

DATA MINING AND KNOWLEDGE DISCOVERY | 2002年 / 6卷 / 02期

关键词：

D O I：

10.1023/A:1014056429969

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The issue of instance selection for data mining application was discussed. It was observed that, if data set is too huge, data mining could not be performed without data reduction. It was stated that the instance selection deals with scaling down of data.

引用

页码：115 / 130

页数：16