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» Learning from Multiple Sources of Inaccurate Data
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FOIS
2006
15 years 1 months ago
Modular Ontology Design Using Canonical Building Blocks in the Biochemistry Domain
The field of BioInformatics has become a major venue for the development and application of computational ontologies. Ranging from controlled vocabularies to annotation of experim...
Christopher J. Thomas, Amit P. Sheth, William S. Y...
ICDE
2008
IEEE
182views Database» more  ICDE 2008»
15 years 6 months ago
Two-phase schema matching in real world relational databases
— We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching tech...
Nikolaos Bozovic, Vasilis Vassalos
142
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 2 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
BMCBI
2005
94views more  BMCBI 2005»
14 years 11 months ago
A method for finding single-nucleotide polymorphisms with allele frequencies in sequences of deep coverage
Background: The allele frequencies of single-nucleotide polymorphisms (SNPs) are needed to select an optimal subset of common SNPs for use in association studies. Sequence-based m...
Jianmin Wang, Xiaoqiu Huang
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 3 days ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe