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EDM
2008
169views Data Mining» more  EDM 2008»
13 years 9 months ago
Mining Student Behavior Models in Learning-by-Teaching Environments
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
Hogyeong Jeong, Gautam Biswas
ICMCS
2009
IEEE
275views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Video semantic concept detection via associative classification
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
ATMOS
2010
136views Optimization» more  ATMOS 2010»
13 years 6 months ago
An Empirical Analysis of Robustness Concepts for Timetabling
Calculating timetables that are insensitive to disturbances has drawn considerable research efforts due to its practical importance on the one hand and its hard tractability by c...
Marc Goerigk, Anita Schöbel
ICPR
2008
IEEE
14 years 8 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...