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» Application of Fuzzy Rule Induction to Data Mining
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EUSFLAT
2003
109views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Diagnosis of dermatological diseases by a neuro-fuzzy system
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
COMPSAC
2004
IEEE
15 years 1 months ago
Hiding Sensitive Patterns in Association Rules Mining
Data mining techniques have been developed in many applications. However, it also causes a threat to privacy. We investigate to find an appropriate balance between a need for priv...
Guanling Lee, Chien-Yu Chang, Arbee L. P. Chen
ECSQARU
2005
Springer
15 years 3 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
JCP
2008
174views more  JCP 2008»
14 years 9 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
VLDB
2007
ACM
111views Database» more  VLDB 2007»
15 years 3 months ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...