Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms and Grouping Problems
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Genetic Algorithms in Search, Optimization and Machine Learning
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Further Research on Feature Selection and Classification Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Pattern Classification (2nd Edition)
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Predictive models for the breeder genetic algorithm i. continuous parameter optimization
Evolutionary Computation
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Designing classifier fusion systems by genetic algorithms
IEEE Transactions on Evolutionary Computation
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Identification of fuzzy models to predict students performance in an e-learning environment
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Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Extraction of logical rules to describe students' learning behavior
WBED'07 Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2
An experimental comparative study of web mining methods for recommender systems
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
Expert Systems with Applications: An International Journal
Web usage mining for improving students performance in learning management systems
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A new adaptive framework for classifier ensemble in multiclass large data
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A heuristic classifier ensemble for huge datasets
AMT'11 Proceedings of the 7th international conference on Active media technology
A scalable heuristic classifier for huge datasets: a theoretical approach
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Multiple instance learning for classifying students in learning management systems
Expert Systems with Applications: An International Journal
GA on IR: Study the Effectiveness of the Developed Fitness Function on IR
International Journal of Artificial Life Research
A web-based intelligent report e-learning system using data mining techniques
Computers and Electrical Engineering
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
Effects of resampling method and adaptation on clustering ensemble efficacy
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This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A combination of multiple classifiers leads to a significant improvement in classification performance. Through weighting the feature vectors using a Genetic Algorithm we can optimize the prediction accuracy and get a marked improvement over raw classification. It further shows that when the number of features is few; feature weighting is works better than just feature selection.