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KAIS
2008
119views more  KAIS 2008»
15 years 1 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
BC
1998
94views more  BC 1998»
15 years 1 months ago
A neural network study of precollicular saccadic averaging
Saccadic averaging is the phenomenon that two simultaneously presented retinal inputs result in a saccade with an endpoint located on an intermediate position between the two stimu...
Karin P. Krommenhoek, W. A. J. J. Wiegerinck
TMI
2002
191views more  TMI 2002»
15 years 1 months ago
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...
GIS
2010
ACM
15 years 14 days ago
Investigation of aggregation effects in vegetation condition monitoring at a national scale
Monitoring vegetation condition is an important issue in the Mediterranean region, in terms of both securing food and preventing fires. Vegetation indices (VIs), mathematical tran...
T. K. Alexandridis, T. Katagis, I. Z. Gitas, N. G....
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
14 years 12 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim