123 search results - page 1 / 25 » Bayesian Algorithms for Causal Data Mining |
JMLR
2010
12 years 11 months ago
2010
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
VLDB
1998
ACM
13 years 9 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
