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ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 1 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
MICCAI
2010
Springer
14 years 10 months ago
Probabilistic Multi-Shape Representation Using an Isometric Log-Ratio Mapping
Abstract. Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Although it is well-known that the sam...
Neda Changizi, Ghassan Hamarneh
ICDE
2010
IEEE
208views Database» more  ICDE 2010»
15 years 1 days ago
Duplicate detection in probabilistic data
Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...
CONPAR
1994
15 years 4 months ago
A Software Architecture for Multidisciplinary Applications: Integrating Task and Data Parallelism
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scienti c and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
SEBD
2008
177views Database» more  SEBD 2008»
15 years 1 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta