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» Attribute reduction in decision-theoretic rough set models
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AI
1998
Springer
14 years 9 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
JCIT
2008
172views more  JCIT 2008»
14 years 9 months ago
Rough Wavelet Hybrid Image Classification Scheme
This paper introduces a new computer-aided classification system for detection of prostate cancer in Transrectal Ultrasound images (TRUS). To increase the efficiency of the comput...
Hala S. Own, Aboul Ella Hassanien
RSCTC
2004
Springer
164views Fuzzy Logic» more  RSCTC 2004»
15 years 2 months ago
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System
Abstract. Acute abdominal pain in childhood is a common but diagnostically challenging problem facing Emergency Department personnel. Experienced physicians use a combination of ke...
Ken Farion, Wojtek Michalowski, Roman Slowinski, S...
PR
2007
129views more  PR 2007»
14 years 9 months ago
EROS: Ensemble rough subspaces
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
RSKT
2007
Springer
15 years 3 months ago
ROSA: An Algebra for Rough Spatial Objects in Databases
Abstract. A fundamental data modeling problem in geographical information systems and spatial database systems refers to an appropriate treatment of the vagueness or indeterminacy ...
Markus Schneider, Alejandro Pauly