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» Possibility of Integrated Data Mining of Clinical Data
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SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
12 years 11 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
14 years 2 months ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
14 years 1 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
14 years 2 months ago
Uncovering the Patterns in Pathology Ordering by Australian General Practitioners: A Data Mining Perspective
Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide. A thorough understanding of the nature ...
Zoe Yan Zhuang, Leonid Churilov, Ken Sikaris
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...