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BIOINFORMATICS
2012
11 years 9 months ago
SSuMMo: rapid analysis, comparison and visualization of microbial communities
Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To under...
Alex L. B. Leach, James P. J. Chong, Kelly R. Rede...
DATASCIENCE
2008
79views more  DATASCIENCE 2008»
13 years 7 months ago
Report from the first Workshop on Extremely Large Databases
Industrial and scientific datasets have been growing enormously in size and complexity in recent years. The largest transactional databases and data warehouses can no longer be ho...
Jacek Becla, Kian-Tat Lim
WECWIS
2008
IEEE
104views ECommerce» more  WECWIS 2008»
14 years 1 months ago
WSDL-D: A Flexible Web Service Invocation Mechanism for Large Datasets
WSDL web services are built around the request-reply framework, requiring service invocation to be bundled together with all relevant data in a single message. Inefficiency become...
Mark Wiley, Aihua Wu 0002, Jianwen Su
JMLR
2010
175views more  JMLR 2010»
13 years 2 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 7 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...