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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 8 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 2 days ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 11 months ago
Scalable Techniques for Mining Causal Structures
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...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
ECAI
2004
Springer
14 years 27 days ago
Indirect and Conditional Sensing in the Event Calculus
Controlling the sensing of an environment by an agent has been accepted as necessary for effective operation within most practical domains. Usually, however, agents operate in par...
Jeremy Forth, Murray Shanahan
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 1 months ago
A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
Réka Albert, Bhaskar DasGupta, Riccardo Don...