Skip to main content
SpringerLink
Log in
Book cover

International Conference on Rough Sets and Current Trends in Computing

RSCTC 2002: Rough Sets and Current Trends in Computing pp 213–217Cite as

Attribute Core of Decision Table

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

Abstract

Attribute core of a decision table is often the start point and key of many information reduction procedures. In this paper, we will study the problem of calculating the attribute core of a decision table. We find some errors in some former results by Hu and Ye [1, 2]. Both definitions of attribute core in the algebra view and information view are studied and their difference is discovered. An algorithm for calculating the attribute core of a decision table in the information view and a systemic method for calculating the attribute core of a decision table in different cases are developed.

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

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. Hu X., Cercone N.: Learning in Relational Databases: a Rough Set Approach. Computational Intelligence, 2 (1995) 323–337

    Article  Google Scholar 

  2. Ye D. Y., Chen Z. J.: A New Discernibility Matrix and the Computation of a Core. ACTA Electronica Sinica, to appear

    Google Scholar 

  3. Wang G. Y.: Algebra View and Information View of Rough Sets Theory, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, Belur V. Dasarathy, Editor, Proceedings of SPIE Vol. 4384 (2001) 200–07

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P. R. China

    G. Y. Wang

Authors
  1. G. Y. Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Penn State Great Valley School of Professional Graduate Studies, 30 East Swedesford Road, Malvern, PA, 19355, USA

    James J. Alpigini

  2. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, G.Y. (2002). Attribute Core of Decision Table. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-45813-1_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation