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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
15 years 10 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, ...
JANCL
2008
109views more  JANCL 2008»
14 years 10 months ago
Conditionalization and total knowledge
This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tenet that an agen...
Ian Pratt-Hartmann
JTAER
2007
160views more  JTAER 2007»
14 years 9 months ago
Enabling Knowledge Sharing within e-Government Back-Office Through Ontological Engineering
Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E–go...
Graciela Brusa, María Laura Caliusco, Omar ...
BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
DILS
2005
Springer
15 years 3 months ago
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...