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On the Idea of Using Granular Rough Mereological Structures in Classification of Data

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Rough Sets and Knowledge Technology (RSKT 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5009))

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Abstract

This paper is devoted to an exposition of the idea of using granular structures obtained from data in the classification tasks of these data into decision classes. Classifiers are induced from granular reflections of data sets.

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References

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Guoyin Wang Tianrui Li Jerzy W. Grzymala-Busse Duoqian Miao Andrzej Skowron Yiyu Yao

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Polkowski, L. (2008). On the Idea of Using Granular Rough Mereological Structures in Classification of Data. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science(), vol 5009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79721-0_32

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  • DOI: https://doi.org/10.1007/978-3-540-79721-0_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79720-3

  • Online ISBN: 978-3-540-79721-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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