A fuzzy attribute-oriented induction method for knowledge discovery in relational databases

被引：0
作者：
Mouaddib, N [1 ]
Raschia, G [1 ]
机构：
[1] Univ Nantes, IRIN, F-44322 Nantes 3, France
来源：
ADVANCES IN DATABASE TECHNOLOGIES | 1999年 / 1552卷
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D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a fuzzy attribute-oriented induction method for knowledge discovery in relational databases. This method is adapted from the DBLearn system by representing background knowledge with fuzzy thesauri and fuzzy labels. These models allow to take into account inherent imprecision and uncertainty of the domain representation. We also show the power of fuzzy thesauri and linguistic variables to describe gradations in the generalization process and to handle exceptions.
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页码：1 / 13
页数：13
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