Tenth International Conference on Information Visualisation (IV'06) OCEAN: 2 1/2D Interactive Visual Data Mining of Text Documents London, England July 05-July 07 ISBN: 0-7695-2602-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2006.78
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 1/2D view of the disks. A user evaluation is reported that outlines the benefit of controlled document hierarchy traversal and 2 1/2D document layout.
Citation:
Christian Jacquemin, Helka Folch, Sylvaine Nugier, "OCEAN: 2 1/2D Interactive Visual Data Mining of Text Documents," iv, pp.383-388, Tenth International Conference on Information Visualisation (IV'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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