Fuzzy signatures in data mining

被引：0

作者：

Vámos, T ^{[1
]}

Kóczy, LT ^{[1
]}

Biró, G ^{[1
]}

机构：

[1] Hungarian Acad Sci, Inst Comp & Automat, Dept Artifical Intelligence, H-1111 Budapest, Hungary

来源：

JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年

关键词：

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：

Fuzzy signature has a special role in data mining, concerning data mixed with human estimates, The semantics of the fuzzy concept is a relevant issue of data interpretation. A software system was developed to implement these ideas and works on a rather extensive database of a two-decade neuro-developmental project. Another project initiated in the subjects of transition economy and society is ongoing. Delicate problems of sensitivity and the re-thinking of principal component and factor analysis for fuzzy data are current research issues.

引用

页码：2842 / 2846

页数：5

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