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» Informative sampling for large unbalanced data sets
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134
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BMCBI
2010
193views more  BMCBI 2010»
15 years 3 months ago
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as w...
Tomás Pluskal, Sandra Castillo, Alejandro V...
144
Voted
ICS
2010
Tsinghua U.
15 years 5 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
CGA
1998
15 years 3 months ago
Principles for Information Visualization Spreadsheets
ns, with large, abstract, multidimensional data sets that are visually represented in multiple ways. We illustrate how spreadsheet techniques provide a structured, intuitive, and p...
Ed Huai-hsin Chi, John Riedl, Phillip Barry, Josep...
134
Voted
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
15 years 5 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
144
Voted
WSDM
2012
ACM
329views Data Mining» more  WSDM 2012»
13 years 11 months ago
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data
A prerequisite for leveraging the vast amount of data available on the Web is Entity Resolution, i.e., the process of identifying and linking data that describe the same real-worl...
George Papadakis, Ekaterini Ioannou, Claudia Niede...