Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7538067 | Poetics | 2018 | 8 Pages |
Abstract
Building on the overlap between notions of duality and the principles of Formal Concept Analysis, we propose a way of quantifying the degree of meaningfulness of one aspect of a data set for defining another. Drawing on ideas from information theory, some familiar and some less familiar, we demonstrate not only how to maximize the meaningfulness in a dataset, but how to translate across datasets.
Related Topics
Social Sciences and Humanities
Arts and Humanities
Arts and Humanities (General)
Authors
John Levi Martin, Monica Lee,