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» Using Learning Curves to Mine Student Models
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125
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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 9 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
AIED
2009
Springer
15 years 10 months ago
Looking Into Collaborative Learning: Design from Macro- and Micro-Script Perspectives
Design of collaborative learning (CL) scenarios is a complex task, but necessary if the goal of the collaboration is learning. Creating well-thought-out CL scenarios requires exper...
Eloy D. Villasclaras-Fernández, Seiji Isota...
121
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ERCIMDL
2009
Springer
167views Education» more  ERCIMDL 2009»
15 years 10 months ago
Conceptual Discovery of Educational Resources through Learning Objectives
This poster reports on current work with the NSF-funded Achievement Standards Network (ASN) to support discovery of educational resources in digital libraries using conceptual grap...
Stuart A. Sutton, Diny Golder
123
Voted
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 3 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
BMCBI
2011
14 years 10 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...