DocumentCode :
1750608
Title :
Fuzzy signatures in data mining
Author :
Vámos, Tibor ; Kóczy, László T. ; Biró, György
Author_Institution :
Dept. of Artificial Intelligence, Hungarian Acad. of Sci., Budapest, Hungary
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2842
Abstract :
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
Keywords :
data mining; fuzzy neural nets; principal component analysis; data interpretation; data mining; database; fuzzy concept; fuzzy data; fuzzy signatures; principal component and factor analysis; semantics; software system; transition economy; two-decade neuro-developmental project; Artificial intelligence; Automation; Data mining; Fuzzy sets; Humans; Software systems; Statistical distributions; Telecommunication computing; Telematics; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.943677
Filename :
943677
Link To Document :
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