1950 search results - page 24 / 390 » Informative sampling for large unbalanced data sets |
IV
2007
IEEE
14 years 1 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
BMCBI
2007
13 years 7 months ago
2007
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
PAKDD
2010
ACM
14 years 13 days ago
2010
ACM
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...