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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
14 years 2 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
ACL
2010
13 years 6 months ago
A Cognitive Cost Model of Annotations Based on Eye-Tracking Data
We report on an experiment to track complex decision points in linguistic metadata annotation where the decision behavior of annotators is observed with an eyetracking device. As ...
Katrin Tomanek, Udo Hahn, Steffen Lohmann, Jü...
AAAI
2010
13 years 10 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
BMCBI
2008
126views more  BMCBI 2008»
13 years 9 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionall...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre...
TITB
2008
110views more  TITB 2008»
13 years 8 months ago
Context-Sensitive Correlation of Implicitly Related Data: An Episode Creation Methodology
Episode creation is the task of classifying medical events and related clinical data to high-level concepts, such as diseases. Challenges in episode creation result in part because...
Roderick Y. Son, Ricky K. Taira, Hooshang Kangarlo...