A new algorithm for automatic knowledge acquisition in inductive learning

被引：10

作者：

Akgobek, Omer ^{[1
]}

Aydin, Yavuz Selim

Oztemel, Ercan

Aksoy, Mehmet Sabih

机构：

[1] Harran Univ, Fac Engn, Dept Ind Engn, TR-63100 Sanliurfa, Turkey

[2] Harran Univ, Fac Engn, Dept Comp Engn, TR-63100 Sanliurfa, Turkey

来源：

KNOWLEDGE-BASED SYSTEMS | 2006年 / 19卷 / 06期

关键词：

knowledge acquisition; inductive learning; rule extraction; entropy; machine learning;

D O I：

10.1016/j.knosys.2006.03.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The objective of this study is to present a new algorithm, REX-1, developed for automatic knowledge acquisition in Inductive Learning. It aims at eliminating the pitfalls and disadvantages of the techniques and algorithms currently in use. The proposed algorithm makes use of the direct rule extraction approach, rather than the decision tree. For this purpose, it uses a set of examples to induce general rules. Using some widely used set of examples such as IRIS, Balance and Balloons, Monk, Splice, Promoter, Lenses, Zoo, and Vote, our algorithm is compared with other well-known algorithms such as ID3, C4.5, ILA, and Rules Family. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：388 / 395

页数：8

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