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EDBT
2000
ACM
15 years 10 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...
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
16 years 8 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
KBSE
2005
IEEE
16 years 8 days ago
AMNESIA: analysis and monitoring for NEutralizing SQL-injection attacks
The use of web applications has become increasingly popular in our routine activities, such as reading the news, paying bills, and shopping on-line. As the availability of these s...
William G. J. Halfond, Alessandro Orso
CSDA
2007
108views more  CSDA 2007»
15 years 6 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
WBIR
2010
SPRINGER
15 years 11 months ago
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration
We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Lisa Tang, Ghassan Hamarneh, Rafeef Abugharbieh