Skip to main content

Part of the book series: Symbolic Computation ((1064))

  • 15 Accesses

Abstract

A discrimination net <59> can be built from a set of classified items. The set is repeatedly split into subsets by the value of a predicate, until each subset contains members of one class only. The series of splits defines the discrimination net.

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

Reference

  1. Quinlan, J. R. Discovering rules by induction from large collections of examples. In Michie, D. (editor). Expert systems in the Micro-electronic Age. Edinburgh University Press, 1979.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1984 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Bundy, A., Wallen, L. (1984). Classification. In: Bundy, A., Wallen, L. (eds) Catalogue of Artificial Intelligence Tools. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-96868-6_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-96868-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13938-6

  • Online ISBN: 978-3-642-96868-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics