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» Analyzing Large Spreadsheet Programs
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PVLDB
2008
182views more  PVLDB 2008»
14 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ICDE
2009
IEEE
120views Database» more  ICDE 2009»
15 years 4 months ago
Recommending Join Queries via Query Log Analysis
— Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, eff...
Xiaoyan Yang, Cecilia M. Procopiuc, Divesh Srivast...
BMCBI
2008
89views more  BMCBI 2008»
14 years 9 months ago
R/parallel - speeding up bioinformatics analysis with R
Background: R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. Such methods ca...
Gonzalo Vera, Ritsert C. Jansen, Remo Suppi
BMCBI
2006
155views more  BMCBI 2006»
14 years 9 months ago
AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
BMCBI
2006
199views more  BMCBI 2006»
14 years 9 months ago
PageMan: An interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments
Background: Microarray technology has become a widely accepted and standardized tool in biology. The first microarray data analysis programs were developed to support pair-wise co...
Björn Usadel, Axel Nagel, Dirk Steinhauser, Y...