14 search results - page 3 / 3 » Unsupervised discovery of co-occurrence in sparse high dimen... |
DATAMINE
2007
13 years 7 months ago
2007
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
BMCBI
2007
13 years 7 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
SIGMOD
2002
ACM
14 years 7 months ago
2002
ACM
Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalesci...
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...