123 search results - page 4 / 25 » Bayesian Algorithms for Causal Data Mining |
DSS
2007
13 years 7 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
AIME
2005
Springer
14 years 27 days ago
2005
Springer
We have developed an algorithm for triaging acute pediatric abdominal pain in the Emergency Department using the discovery-driven approach. This algorithm is embedded into the MET-...
AIIA
2003
Springer
14 years 18 days ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...