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» Top 10 algorithms in data mining
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KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 8 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
KDD
2004
ACM
142views Data Mining» more  KDD 2004»
14 years 8 months ago
Meta-classification of Multi-type Cancer Gene Expression Data
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Benny Y. M. Fung, Vincent T. Y. Ng
MLDM
2009
Springer
14 years 2 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda
ICFCA
2009
Springer
14 years 2 months ago
Yet a Faster Algorithm for Building the Hasse Diagram of a Concept Lattice
Formal concept analysis (FCA) is increasingly applied to data mining problems, essentially as a formal framework for mining reduced representations (bases) of target pattern famili...
Jaume Baixeries, Laszlo Szathmary, Petko Valtchev,...
CIBCB
2009
IEEE
13 years 9 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...