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» Using Learning Curves to Mine Student Models
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 3 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
IRI
2007
IEEE
15 years 9 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 4 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
ICALT
2003
IEEE
15 years 8 months ago
Exploratory + Collaborative Learning in Programming: A Framework for the Design of Learning Activities
In this paper, we propose a framework for the design of learning activities, which follows the key idea of the “Learning-for-Use” model and adopts characteristics from the exp...
Agoritsa Gogoulou, Evangelia Gouli, Maria Grigoria...
ICALT
2005
IEEE
15 years 8 months ago
Cognitive Apprenticeship-Based Object-Oriented Software Engineering Education Support Environment
Software development is knowledge-intensive as well as collaborative work carried out by several persons. In this type of education, project-based exercises are conducted in order ...
Atsuo Hazeyama, Yoshihide Ohgame, Masato Miura