Data mining using neural networks

被引：0
|
作者：
Dillon, TS [1 ]
Wang, DH
Chang, E
机构：
[1] La Trobe Univ, Dept Comp Sci & Comp Engn, Bundoora, Vic 3145, Australia
[2] Univ Newcastle, Dept Comp Sci & Software Engn, Newcastle, NSW 2308, Australia
来源：
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS | 2001年 / 9卷 / 04期
关键词：
data mining; neural networks; supervised/unsupervised neural nets;
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：
The paper explores the process of learning examples into neural nets and then extracting the information from these in the form of symbolic rules and concept hierarchies. Specifically the paper will review approach as using neural nets with both supervised and unsupervised learning to derive symbolic knowledge in the form of conjunctive rules, for problems with discrete features. It will then propose methods for: 1. treating disjunctive rules for discrete features; 2. treating problems with continuous features; 3. consider the problem of rules which represent data with low frequency of occurrence but high conceptual significance.
引用
收藏
页码：187 / 194
页数：8
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