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» Clustering by pattern similarity in large data sets
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IPPS
2006
IEEE
16 years 12 days ago
Parallel ICA methods for EEG neuroimaging
HiPerSAT, a C++ library and tools, processes EEG data sets with ICA (Independent Component Analysis) methods. HiPerSAT uses BLAS, LAPACK, MPI and OpenMP to achieve a high performa...
D. B. Keith, C. C. Hoge, Robert M. Frank, Allen D....
CEC
2003
IEEE
15 years 11 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
NAR
2007
136views more  NAR 2007»
15 years 5 months ago
DBAli tools: mining the protein structure space
The DBAli tools use a comprehensive set of structural alignments in the DBAli database to leverage the structural information deposited in the Protein Data Bank (PDB). These tools...
Marc A. Martí-Renom, Ursula Pieper, Mallur ...
ISCI
2008
116views more  ISCI 2008»
15 years 6 months ago
Discovery of maximum length frequent itemsets
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
Tianming Hu, Sam Yuan Sung, Hui Xiong, Qian Fu
IS
2007
15 years 6 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis