Parent Selection Criterion for Extracting Trees fromConcept Lattices

CUBIST Workshop 2011.

工业技术;计算机科学

Cassio Melo1 ; Bénédicte Le-Grand2 ; Anastasia Bezerianos1 ; Marie-Aude Aufaure1 ; 1

Others  :  http://ceur-ws.org/Vol-753/paper03_cubistws11.pdf
PID  :  41014

来源: CEUR

【 摘 要 】

Traditional software in Formal Concept Analysis makes little use of visualization techniques, producing poorly readable concept latticerepresentations when the number of concepts exceeds a few dozens. This isproblematic as the number of concepts in such lattices grows significantly withthe size of the data and the number of its dimensions. In this work we proposeseveral methods to enhance the readability of concept lattices firstly thoughcolouring and distortion techniques, and secondly by extracting and visualizingtrees derived from concept lattice structures. These contributions represent animportant step in the visual analysis of conceptual structures, as domain expertsmay visually explore larger datasets that traditional visualizations of conceptlattice cannot represent effectively.