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» Informative sampling for large unbalanced data sets
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BMCBI
2006
135views more  BMCBI 2006»
15 years 1 months ago
Correcting ligands, metabolites, and pathways
Background: A wide range of research areas in bioinformatics, molecular biology and medicinal chemistry require precise chemical structure information about molecules and reaction...
Martin A. Ott, Gert Vriend
112
Voted
BMCBI
2007
131views more  BMCBI 2007»
15 years 1 months ago
FUNC: a package for detecting significant associations between gene sets and ontological annotations
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
Kay Prüfer, Bjoern Muetzel, Hong Hai Do, Gunt...
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
15 years 6 months ago
Mining Relevant Text from Unlabelled Documents
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
Daniel Barbará, Carlotta Domeniconi, Ning K...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 8 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
ICDM
2002
IEEE
153views Data Mining» more  ICDM 2002»
15 years 6 months ago
Generating an informative cover for association rules
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
Laurentiu Cristofor, Dan A. Simovici