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» Active Sampling for Knowledge Discovery from Biomedical Data
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PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
13 years 10 months ago
Active Sampling for Knowledge Discovery from Biomedical Data
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
Sriharsha Veeramachaneni, Francesca Demichelis, Em...
PREMI
2007
Springer
13 years 10 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
AUSDM
2008
Springer
246views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia
Data mining and knowledge discovery have been applied to datasets in various industries including biomedical data. Modelling, data mining and visualization in biomedical data addr...
Ahmad Al-Oqaily, Paul J. Kennedy, Daniel R. Catchp...
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
13 years 10 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
CIKM
2009
Springer
13 years 9 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...