Decision Rule Classifiers for Multi-label Decision Tables

被引：0
|
作者：
Alsolami, Fawaz [1 ]
Azad, Mohammad [1 ]
Chikalov, Igor [1 ]
Moshkov, Mikhail [1 ]
机构：
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia
来源：
ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, RSEISP 2014 | 2014年 / 8537卷
关键词：
decision rules; rule heuristics; classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, multi-label classification problem has received significant attention in the research community. This paper is devoted to study the effect of the considered rule heuristic parameters on the generalization error. The results of experiments for decision tables from UCI Machine Learning Repository and KEEL Repository show that rule heuristics taking into account both coverage and uncertainty perform better than the strategies taking into account a single criterion.
引用
收藏
页码：191 / 197
页数：7
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