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» Active Sampling for Knowledge Discovery from Biomedical Data
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SOFSEM
2001
Springer
13 years 10 months ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
BMCBI
2010
175views more  BMCBI 2010»
13 years 5 months ago
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
Background: The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information ...
Jiye Ai, Barry Smith, Wong T. David
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
13 years 9 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
BMCBI
2010
97views more  BMCBI 2010»
13 years 5 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
13 years 9 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...