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Assessment of the Performance of Fuzzy Cluster Analysis in the Classification of RFC Documents

Title
Assessment of the Performance of Fuzzy Cluster Analysis in the Classification of RFC Documents
Type
Article in International Conference Proceedings Book
Year
2000
Authors
Maria Eduarda S. Mendes
(Author)
FEUP
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L. Sacks
(Author)
Other
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Conference proceedings International
Pages: 1-5
London Communications Symposium-LCS2000
University College London, London, U.K.
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Physical sciences > Computer science
Other information
Resumo (PT):
Abstract (EN): This paper describes the use of fuzzy cluster analysis in the process of finding knowledge from meta-data. A collection of RFC documents has been used to analyse the behaviour of such technique on finding similarities and establishing groups among these documents. The fuzzy clustering resulted in a 85% match to our prior expectations.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
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