Abstract | ||
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In this paper we propose a new lens through which to observe the information contained in a formal context. Instead of focusing on the hierarchical relation between objects or attributes induced by their incidence, we focus on the "unrelatedness" of the objects with respect to those attributes with which they are not incident. The crucial order concept for this is that of maximal anti-chain and the corresponding representation capabilities are provided by Behrendt's theorem. With these tools we introduce the fundamental theorem of Formal Independence Analysis and use it to provide an example of what its affordances are for the analysis of data tables. We also discuss its relation to Formal Concept Analysis. |
Year | DOI | Venue |
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2018 | 10.1007/978-3-319-91473-2_51 | Communications in Computer and Information Science |
Keywords | DocType | Volume |
Formal Concept Analysis,Independence,Tomoi | Conference | 853 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francisco J. Valverde-Albacete | 1 | 116 | 20.84 |
Carmen Peláez-moreno | 2 | 130 | 22.07 |
Inma P. Cabrera | 3 | 31 | 8.17 |
Pablo Cordero | 4 | 44 | 8.86 |
Manuel Ojeda-aciego | 5 | 748 | 68.13 |