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INFORMATICALT
2011
89views more  INFORMATICALT 2011»
12 years 12 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
APWEB
2005
Springer
13 years 10 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
PADL
2009
Springer
14 years 5 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan
BMCBI
2008
113views more  BMCBI 2008»
13 years 5 months ago
SNPFile - A software library and file format for large scale association mapping and population genetics studies
Background: High-throughput genotyping technology has enabled cost effective typing of thousands of individuals in hundred of thousands of markers for use in genome wide studies. ...
Jesper Nielsen, Thomas Mailund
WSDM
2010
ACM
251views Data Mining» more  WSDM 2010»
14 years 2 months ago
Large Scale Query Log Analysis of Re-Finding
Although Web search engines are targeted towards helping people find new information, people regularly use them to re-find Web pages they have seen before. Researchers have noted ...
Jaime Teevan, Sarah K. Tyler