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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 4 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, ...
SEMWEB
2005
Springer
15 years 9 months ago
Ontology Based Analysis of Experimental Data
We address the problem of linking observations from reality to a semantic web based knowledge base. Concepts in the biological domain are increasingly being formalized through ont...
Andrea Splendiani
SEMWEB
2010
Springer
15 years 2 months ago
Linked Data Query Processing Strategies
Abstract. Recently, processing of queries on linked data has gained attention. We identify and systematically discuss three main strategies: a bottom-up strategy that discovers new...
Günter Ladwig, Thanh Tran
BMCBI
2007
151views more  BMCBI 2007»
15 years 4 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
KDD
1994
ACM
125views Data Mining» more  KDD 1994»
15 years 8 months ago
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...