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Published in:
2011 | OriginalPaper | Chapter
Spatial Visualization of Conceptual Data
Authors : Michel Soto, Bénédicte Le Grand, Marie-Aude Aufaure
Published in: Classification and Multivariate Analysis for Complex Data Structures
Publisher: Springer Berlin Heidelberg
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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.