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» Knowledge-based data analysis and interpretation
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KDD
2002
ACM
193views Data Mining» more  KDD 2002»
15 years 10 months ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan
CIBCB
2009
IEEE
14 years 11 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
BIB
2010
89views more  BIB 2010»
14 years 9 months ago
Knowledge-based data analysis comes of age
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
Michael F. Ochs
RECOMB
2001
Springer
15 years 2 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
ERCIMDL
2007
Springer
129views Education» more  ERCIMDL 2007»
15 years 4 months ago
Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by ...
Jillian C. Wallis, Christine L. Borgman, Matthew S...