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The Statistical Verification of Rough Classification Algorithms

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4692))

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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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Bruno Apolloni Robert J. Howlett Lakhmi Jain

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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

  • Print ISBN: 978-3-540-74817-5

  • Online ISBN: 978-3-540-74819-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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