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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 6 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, ...
TCBB
2010
80views more  TCBB 2010»
13 years 4 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
IV
2008
IEEE
133views Visualization» more  IV 2008»
14 years 4 days ago
Mining Scholarly Semantic Networks from the Web
With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such inf...
Mizuki Oka, Yutaka Matsuo
ESWS
2005
Springer
13 years 11 months ago
RELFIN - Topic Discovery for Ontology Enhancement and Annotation
While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the docu...
Markus Schaal, Roland M. Müller, Marko Brunze...
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
13 years 9 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...