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International Conference on Complex Systems (ICCS2006)

A Short Tutorial on Reconstructability Analysis

Martin Zwick
Systems Science Ph.D. Program, Portland State University

     Full text: Not available
     Last modified: May 18, 2006

This talk will present the basic ideas of Reconstructability Analysis. RA is a general modeling methodology developed in the systems community since the early 60s (pioneered by Ross Ashby) for exploratory (data mining, machine learning) and confirmatory modeling. RA is based in graph theory, set theory, information theory, and statistics. It is applicable to qualitative (nominal) and, via binning, to quantitative (continuous) data, with both statistical & non-statistical applications. It overlaps and augments more widely known methods, e.g., log-linear modeling and Bayesian networks.

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