Artificial Intelligence Review - Special issue on lazy learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Using analytic QP and sparseness to speed training of support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Machine Learning
An adaptation of Relief for attribute estimation in regression
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Inference for the Generalization Error
Machine Learning
Improvements to the SMO algorithm for SVM regression
IEEE Transactions on Neural Networks
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Web usage mining for improving students performance in learning management systems
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Multiple instance learning for classifying students in learning management systems
Expert Systems with Applications: An International Journal
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The ability to provide assistance for a student at the appropriate level is invaluable in the learning process. Not only does it aids the studentýs learning process but also prevents problems, such as student frustration and floundering. Studentsý key demographic characteristics and their marks in a small number of written assignments can constitute the training set for a regression method in order to predict the studentýs performance. The scope of this work compares some of the state of the art regression algorithms in the application domain of predicting studentsý marks. A number of experiments have been conducted with six algorithms, which were trained using datasets provided by the Hellenic Open University. Finally, a prototype version of software support tool for tutors has been constructed implementing the M5rules algorithm, which proved to be the most appropriate among the tested algorithms.