Skip to main content

An Incremental Rule Induction Algorithm Based on Ordering Relations

  • Conference paper
  • 2619 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5589))

Abstract

Based on multi-dominance discernibility matrices, an incremental algorithm INRIDDM is proposed by means of dominance-based rough set approach. For the incremental algorithm, when a new object arrives, after updating one row or one column in the matrix, we could get the updated rule sets. Computation analysis and experimental results show that the incremental algorithm INRIDDM is superior to other non-incremental algorithms on dealing with large data sets.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Greco, S., Matarazzo, B., Slowinski, R., Stefanowinski, J.: An algorithm for induction of decision rules consistent with the dominance principle. In: Proceedings of Rough Sets and Current Trends in Computing, pp. 304–313 (2000)

    Google Scholar 

  2. Greco, S., Slowinski, R., Stefanowski, J., Zurawski, M.: Incremental versus non-incremental rule induction for multicriteria classification. In: Peters, J.F., Skowron, A., Dubois, D., Grzymała-Busse, J.W., Inuiguchi, M., Polkowski, L. (eds.) Transactions on Rough Sets II. LNCS, vol. 3135, pp. 33–53. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Jia, X.Y., Shang, L., Chen, J.J.: Rule induction algrithom based on dominance-based on rough set approach (in Chinese). Journal of Jiangnan University (Natural Science edn.) 6(6), 686–689 (2007)

    Google Scholar 

  4. Pawlak, Z.: Rough Sets. In: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)

    Google Scholar 

  5. Shan, N., Ziarko, W.: An incremental learning algorithm for constructing decision rules. In: Rough Sets, Fuzzy Sets and Knoledge Discovery, pp. 326–334. Springer, Heidelberg (1993)

    Google Scholar 

  6. Yao, Y.Y.: Mining high order decision rules. In: Rough Set Theory and Granular Computing, pp. 125–135 (2003)

    Google Scholar 

  7. Yao, Y.Y., Zhou, B., Chen, Y.H.: Interpreting low and high order rules: a granular computing approach. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 371–380. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jia, X., Shang, L., Chen, J., Dai, X. (2009). An Incremental Rule Induction Algorithm Based on Ordering Relations. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02962-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02961-5

  • Online ISBN: 978-3-642-02962-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics