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Generating Core in Rough Set Theory: Design and Implementation on FPGA

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8537))

Abstract

In this paper we propose the FPGA based device for data processing using rough set methods. Presented architecture has been tested on a real-world data. Obtained results confirm the huge acceleration of the computation time using hardware supporting core generation in comparison to software implementation.

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References

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© 2014 Springer International Publishing Switzerland

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Kopczynski, M., Grzes, T., Stepaniuk, J. (2014). Generating Core in Rough Set Theory: Design and Implementation on FPGA. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Raś, Z.W. (eds) Rough Sets and Intelligent Systems Paradigms. Lecture Notes in Computer Science(), vol 8537. Springer, Cham. https://doi.org/10.1007/978-3-319-08729-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-08729-0_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08728-3

  • Online ISBN: 978-3-319-08729-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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