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» Discovering Robust Knowledge from Databases that Change
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CORIA
2010
13 years 2 months ago
Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases
Knowledge discovery from satellite images in spatio-temporal context remains one of the major challenges in the remote sensing field. It is, always, difficult for a user to manuall...
Wadii Boulila, Imed Riadh Farah, Karim Saheb Ettab...
COMPSAC
2005
IEEE
13 years 9 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
AIPR
2008
IEEE
14 years 2 months ago
Temporal structure methods for image-based change analysis
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...
Ray Rimey, Dan Keefe
MMSP
2008
IEEE
204views Multimedia» more  MMSP 2008»
14 years 1 months ago
Color restoration for objects of interest using robust image features
—Illumination distortion due to uncontrolled lighting can severely degrade the color appearance of a photo. Frequently, the desired colors for objects in a newly taken query imag...
David M. Chen, Vijay Chandrasekhar, Gabriel Takacs...
EDBT
2000
ACM
13 years 11 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...