Data Mining Based on Fuzzy Rough Set Theory and Its Application in the Glass Identification
- Ruying Sun
Abstract
To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is introduced to fuzzify the continual attribute, and the best minute class number is obtained by cluster validity analysis. The relationship of glass composition and its application is excavated using data mining method in this paper.
- Full Text:
PDF
- DOI:10.5539/mas.v3n8p100
Journal Metrics
(The data was calculated based on Google Scholar Citations)
Index
- Aerospace Database
- American International Standards Institute (AISI)
- BASE (Bielefeld Academic Search Engine)
- CAB Abstracts
- CiteFactor
- CNKI Scholar
- Elektronische Zeitschriftenbibliothek (EZB)
- Excellence in Research for Australia (ERA)
- JournalGuide
- JournalSeek
- Library and Archives Canada(LAC)
- LOCKSS
- MIAR
- NewJour
- Norwegian Centre for Research Data (NSD)
- Open J-Gate
- Polska Bibliografia Naukowa
- ResearchGate
- SHERPA/RoMEO
- Ulrich's
- Universe Digital Library
- WorldCat
- ZbMATH
Contact
- Sunny LeeEditorial Assistant
- mas@ccsenet.org