Comparison of rough-set and statistical methods in inductive learning
International Journal of Man-Machine Studies
Interactive Distance Learning Over Intranets
IEEE Internet Computing
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WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
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ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
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ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
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WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
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This paper discusses the implementation of the Distance Learning Algorithm (DLA), which is derived from the Rough Set Based Inductive Learning Algorithm proposed by Wong and Ziarko in 1986. Rough Set Based Inductive Learning uses Rough Set theory to find general decision rules. Because this algorithm was not designed for distance learning, it was modified into the DLA to suit the distance learning requirements. In this paper, we discuss implementation issues.