Abstract
In this paper some heuristic algorithms for rough classification are presented and verified by using statistical tests. The results of these tests allow finding our which algorithm is more effective and should be applied in E-learning systems for redefining the classification criterion for the set of learners.
This work was partially supported by the Polish Ministry of Science and Higher Education under the grant no N516 013 32/1733 (2007-2008).
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Kozierkiewicz, A., Nguyen, N.T. (2007). The Statistical Verification of Rough Classification Algorithms. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_30
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DOI: https://doi.org/10.1007/978-3-540-74819-9_30
Publisher Name: Springer, Berlin, Heidelberg
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