Title :
OCEAN: 2 1/2D Interactive Visual Data Mining of Text Documents
Author :
Jacquemin, Christian ; Folch, Helka ; Nugier, Sylvaine
Author_Institution :
LIMSI-CNRS, Univ. Paris, Orsay
Abstract :
OCEAN is a tool for a posteriori visual data mining that uses the output of a text miner to help users better explore a document space. Clustered documents are transformed into a hierarchical 3D representation analog to reconfigurable disk trees. An intermediary document representation allows for interface customization and offers a generic approach to 3D structuring of text miner outputs. An interactive exploration is offered that avoids tree manipulation and provides local 2 frac12D view of the disks. A user evaluation is reported that outlines the benefit of controlled document hierarchy traversal and 2 frac12D document layout
Keywords :
data mining; data visualisation; interactive systems; text analysis; user interfaces; 2 frac12D document layout; 3D representation analog; OCEAN; controlled document hierarchy traversal; interactive visual data mining; interface customization; reconfigurable disk tree; text document; text miner; Clustering algorithms; Data mining; Data visualization; Navigation; Nonhomogeneous media; Oceans; Research and development; Space exploration; Text mining; Web pages;
Conference_Titel :
Information Visualization, 2006. IV 2006. Tenth International Conference on
Conference_Location :
London, England
Print_ISBN :
0-7695-2602-0