An overview of reconstructability analysis

An overview of reconstructability analysis This paper is an overview of reconstructability analysis (RA), an approach to discrete multivariate modeling developed in the systems community. RA includes set‐theoretic modeling of relations and information‐theoretic modeling of frequency and probability distribution. It thus encompasses both statistical and nonstatistical problems. It overlaps with logic design and machine learning in engineering and with log‐linear modeling in the social sciences. Its generality gives it considerable potential for knowledge representation and data mining. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

An overview of reconstructability analysis

Kybernetes, Volume 33 (5/6): 29 – Jun 1, 2004

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684920410533958
Publisher site
See Article on Publisher Site

Abstract

This paper is an overview of reconstructability analysis (RA), an approach to discrete multivariate modeling developed in the systems community. RA includes set‐theoretic modeling of relations and information‐theoretic modeling of frequency and probability distribution. It thus encompasses both statistical and nonstatistical problems. It overlaps with logic design and machine learning in engineering and with log‐linear modeling in the social sciences. Its generality gives it considerable potential for knowledge representation and data mining.

Journal

KybernetesEmerald Publishing

Published: Jun 1, 2004

Keywords: Cybernetics; Information theory; Systems theory; Modelling

References

  • Modified reconstructability analysis for many‐valued functions and relation
    Al‐Rabadi, A.; Zwick, M.
  • A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions
    Al‐Rabadi, A.; Zwick, M.; Perkowski, M.
  • Multi‐level decomposition of relations
    Grygiel, S.; Zwick, M.; Perkowski, M.
  • An information theoretic framework for exploratory segmentation research
    Hosseini, J.; Harmon, R.; Zwick, M.
  • Directed extended dependency analysis for data mining
    Shannon, T.; Zwick, M.
  • A software architecture for reconstructability analysis
    Willett, K.; Zwick, M.
  • Reconstructability analysis with Fourier transforms
    Zwick, M.
  • State‐based reconstructability analysis
    Zwick, M.; Johnson, M.
  • Reconstructability analysis detection of optimal gene order in genetic algorithms
    Zwick, M.; Shervais, S.

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