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» Informative sampling for large unbalanced data sets
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EDBT
2010
ACM
206views Database» more  EDBT 2010»
15 years 8 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...
BMCBI
2007
164views more  BMCBI 2007»
15 years 1 months ago
The Personal Sequence Database: a suite of tools to create and maintain web-accessible sequence databases
Background: Large molecular sequence databases are fundamental resources for modern bioscientists. Whether for project-specific purposes or sharing data with colleagues, it is oft...
Scott A. Givan, Christopher M. Sullivan, James C. ...
INFOVIS
2003
IEEE
15 years 6 months ago
Mapping Nominal Values to Numbers for Effective Visualization
Data sets with a large number of nominal variables, some with high cardinality, are becoming increasingly common and need to be explored. Unfortunately, most existing visual explo...
Geraldine E. Rosario, Elke A. Rundensteiner, David...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
108
Voted
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
16 years 1 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...