Spatial Visualization of Conceptual Data

Bénédicte Le Grand (1) , Marie-Aude Aufaure , Michel Soto

1 NPA - Networks and Performance Analysis

Numerous data mining methods have been designed to help extract relevant and significant information from large datasets. Computing concept lattices allows clustering data according to their common features and making all relationships between them explicit. However, the size of such lattices increases exponentially with the volume of data and its number of dimensions. This paper proposes to use spatial (pixel-oriented) and tree-based visualizations of these conceptual structures in order to optimally exploit their expressivity.

Domaines: Informatique [cs]

Bénédicte Le Grand, Marie-Aude Aufaure, Michel Soto. Spatial Visualization of Conceptual Data. The 1st joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Group of SIS, Jun 2008, Caserta, Italy. pp.379-388, ⟨10.1007/978-3-642-13312-1_40⟩. ⟨hal-01303820⟩