1083 search results - page 108 / 217 » Efficient Discovery of Confounders in Large Data Sets |
142
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BMCBI
2008
15 years 6 months ago
2008
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
171
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
183
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
317
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ICDE
2009
IEEE
16 years 8 months ago
2009
IEEE
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...
176
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ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...