Overview of Reconstructability Analysis
Science Ph.D. Program, Portland State University, Portland, OR
reconstructability analysis, information theory, log-linear modeling,
decomposition, general systems methodology, multi-valued logic, logic design,
data mining, machine learning
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