Skip to main content

Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm

  • Conference paper
  • First Online:
Book cover Discovery Science (DS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1967))

Included in the following conference series:

Abstract

Various techniques have been proposed for rule discovery using classification learning. In general,the learning speed of a system using genetic programming (GP) [1] is slow. However,a learning system which can acquire higher-order knowledge by adjusting to the environment can be constructed,b ecause the structure is treated at the same time.

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 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.

References

  1. J. R. Koza, Genetic Programming II, MIT Press, 1994.

    Google Scholar 

  2. M. Terabe, O. Katai, T. Sawaragi, T. Washio, H. Motoda. Attribute Generation Based on Association Rules. Journal of Japanese Society for Artificial Intelligence, Vol.15 No.1,pp.187–197, 2000. (In Japanese)

    Google Scholar 

  3. J. R. Quinlan: C4.5: Programs for Machine Learning, Morgan Kaufman Publishers, 1993.

    Google Scholar 

  4. C. L. Blake, C. J. Merz. UCI Repository of machine learning databases. [http://www.ics.uci.edu/~mlearn/MLRepository.html], Irvine, CA: University of California, Department of Information and Computer Science, 1998.

    Google Scholar 

  5. A. Niimi, E. Tazaki: Object oriented approach to combined learning of decision tree and ADF GP, 1999 International Joint Conference on Neural Networks, Washington DC, USA, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Niimi, A., Tazaki, E. (2000). Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm. In: Arikawa, S., Morishita, S. (eds) Discovery Science. DS 2000. Lecture Notes in Computer Science(), vol 1967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44418-1_28

Download citation

  • DOI: https://doi.org/10.1007/3-540-44418-1_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41352-3

  • Online ISBN: 978-3-540-44418-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics