Martin Zwick

Keywords: reconstructability analysis, information theory, log-linear modeling, decomposition, general systems methodology, multi-valued logic, logic design, data mining, machine learning

 

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 distributions.  It thus encompasses both statistical and non-statistical 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.

Entire Paper (pdf)

Discrete Multivariate Modeling Page