Skip to main content

Pairwise Cores in Information Systems

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3641))

Abstract

A core in information system is a set of attributes globally necessary to distinct objects from different decision classes (i.e., the intersection of all reducts of the information system). A notion of a pairwise core (2-core), which naturally extends the definition of a core into the case of pairs of attributes is presented. Some useful features concerned with the graph representation of pairwise cores are discussed.

The paper presents also practical application of the notion of 2-core. It is known that a core (if exists) may be used to improve the reduct finding methods, since there exist polynomial algorithms for core construction. The same may be proven for a 2-core, which may be also used for estimation of minimal reduct size.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

References

  1. Bazan, J., Nguyen, H.S., Nguyen, S.H., Synak, P., Wróblewski, J.: Rough Set Algorithms in Classification Problem. In: Polkowski, L., Tsumoto, S., Lin, T.Y. (eds.) Rough Set Methods and Applications, pp. 49–88. Physica, Heidelberg (2000)

    Google Scholar 

  2. Garey, M.R., Johnson, D.S.: Computers and Intractability, a Guide to the Theory of NP-Completeness. W.H. Freeman and Company, San Francisco (1979)

    MATH  Google Scholar 

  3. Hu, X., Lin, T.Y., Han, J.: A New Rough Sets Model Based on Database Systems. Fundamenta Informaticae 59(2,3), 135–152 (2004)

    MATH  MathSciNet  Google Scholar 

  4. Kryszkiewicz, M., Cichon, K.: Towards Scalable Algorithms for Discovering Rough Set Reducts. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.z., Świniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 120–143. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. UCI Machine Learning Rep.: http://www.ics.uci.edu/~mlearn/MLRepository.html

  6. Miao, D., Hou, L.: An Application of Rough Sets to Monk’s Problems Solving. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 138–145. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  7. Pawlak, Z.: Rough sets – Theoretical aspects of reasoning about data. Kluwer Academic Publishers, Dordrecht (1991)

    MATH  Google Scholar 

  8. RSES – Rough Set Exploration System, http://logic.mimuw.edu.pl/~rses/

  9. Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Slowinski, W.R. (ed.) Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory, pp. 311–362. Kluwer, Dordrecht (1992)

    Google Scholar 

  10. Wróblewski, J.: Finding minimal reducts using genetic algorithms. Proc. of the Second Annual Join Conference on Information Sciences, Wrightsville Beach, NC, 186–189 (1995), http://www.mimuw.edu.pl/~jakubw/bib/

  11. Wróblewski, J.: Covering with reducts – a fast algorithm for rule generation. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 402–407. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  12. Wróblewski, J.: Ensembles of classifiers based on approximate reducts. Fundamenta Informaticae 47(3,4), 351–360 (2001)

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wróblewski, J. (2005). Pairwise Cores in Information Systems. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_18

Download citation

  • DOI: https://doi.org/10.1007/11548669_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28653-0

  • Online ISBN: 978-3-540-31825-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics