Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

FPGA in Rough Set Based Core and Reduct Computation

  • Conference paper
Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

Included in the following conference series:

Abstract

In this paper we propose a combination of capabilities of the FPGA based device and PC computer for data processing using rough set methods. Presented architecture has been tested on a random data. Obtained results confirm the significant acceleration of the computation time using hardware supporting rough sets operations in comparison to software implementation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Athanas, P., Pnevmatikatos, D., Sklavos, N. (eds.): Embedded Systems Design with FPGAs. Springer (2013)

    Google Scholar 

  2. Kanasugi, A., Yokoyama, A.: A basic design for rough set processor. In: The 15th Annual Conference of Japanese Society for Artificial Intelligence (2001)

    Google Scholar 

  3. Kopczyński, M., Stepaniuk, J.: Rough set methods and hardware implementations, Zeszyty Naukowe Politechniki Białostockiej. Informatyka Zeszyt 8, 5–18 (2011)

    Google Scholar 

  4. Kopczyński, M., Stepaniuk, J.: Hardware Implementations of Rough Set Methods in Programmable Logic Devices. In: Skowron, A., Suraj, Z. (eds.) Rough Sets and Intelligent Systems. ISRL, vol. 43, pp. 309–321. Springer, Heidelberg (2013)

    Google Scholar 

  5. Lewis, T., Perkowski, M., Jozwiak, L.: Learning in Hardware: Architecture and Implementation of an FPGA-Based Rough Set Machine. In: 25th Euromicro Conference (EUROMICRO 1999), vol. 1, p. 1326 (1999)

    Google Scholar 

  6. Muraszkiewicz, M., Rybiński, H.: Towards a Parallel Rough Sets Computer. In: Rough Sets, Fuzzy Sets and Knowledge Discovery, pp. 434–443. Springer (1994)

    Google Scholar 

  7. Pawlak, Z.: Elementary rough set granules: Toward a rough set processor. In: Pal, S.K., Polkowski, L., Skowron, A. (eds.) Rough-Neurocomputing: Techniques for Computing with Words, Cognitive Technologies, pp. 5–14. Springer, Berlin (2004)

    Google Scholar 

  8. Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences 177(1), 3–27 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  9. Stepaniuk, J.: Rough–Granular Computing in Knowledge Discovery and Data Mining. Springer (2008)

    Google Scholar 

  10. Tiwari, K.S., Kothari, A.G., Keskar, A.G.: Reduct Generation from Binary Discernibility Matrix: An Hardware Approach. International Journal of Future Computer and Communication 1(3), 270–272 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Grześ, T., Kopczyński, M., Stepaniuk, J. (2013). FPGA in Rough Set Based Core and Reduct Computation. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41299-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics