319 search results - page 22 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
BMCBI
2007
14 years 10 months ago
2007
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
IDEAL
2003
Springer
15 years 3 months ago
2003
Springer
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
AUSDM
2007
Springer
15 years 1 months ago
2007
Springer
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
ICCS
2009
Springer
15 years 4 months ago
2009
Springer
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use ...