Fuzzy signatures in data mining

Tibor Vámos, László T. Kóczy, György Biró

Research output: Contribution to conferencePaper

45 Citations (Scopus)

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.

Original languageEnglish
Pages2842-2846
Number of pages5
Publication statusPublished - Dec 1 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period7/25/017/28/01

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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    Vámos, T., Kóczy, L. T., & Biró, G. (2001). Fuzzy signatures in data mining. 2842-2846. Paper presented at Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada.