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Titlebook: Rough Sets and Knowledge Technology; 4th International Co Peng Wen,Yuefeng Li,Guoyin Wang Conference proceedings 2009 Springer-Verlag Berli

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Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs througherforms better in term of prediction certainty than other rule-based algorithms such as decision tree and ripper algorithms. Overall, we believe that RST may have the potential in playing an essential role in the field of LD diagnosis.
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d to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu
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Andrzej Jankowski,Andrzej Skowron,Marcin Szczukad to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu
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David M. W. Powers,Richard Leibbrandtd to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu
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Rafael Falcón,Gwanggil Jeon,Kangjun Lee,Rafael Bello,J. Jeongthe gaseous baryons did not cool, collapse, and form stars and galaxies. However, if this gas is allowed to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency,
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