Spatial Visualisation of Conceptual Data

Author

Soto, Michel ; Le Grand, Benedicte ; Aufaure, Marie-Aude

Author_Institution

Lab. d´´Inf. de Paris 6, Paris, France

fYear

2009

fDate

15-17 July 2009

Firstpage

57

Lastpage

61

Abstract

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 visualisations of these conceptual structures in order to optimally exploit their expressivity.

Keywords

data mining; data visualisation; information retrieval; pattern clustering; spatial data structures; tree data structures; Galois lattice; Hasse diagram; data clustering; data mining method; data structure; information extraction; spatial conceptual data visualisation; spatial pixel-oriented visualisation; tree-based visualisation; Data analysis; Data mining; Data visualization; Design methodology; Information analysis; Lattices; Navigation; Terminology; Thesauri; Web pages; Galois lattices; formal conceptual analysis; visualisation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualisation, 2009 13th International Conference

Conference_Location

Barcelona

ISSN

1550-6037

Print_ISBN

978-0-7695-3733-7

Type

conf

DOI

10.1109/IV.2009.10

Filename

5190875