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

fYear

2006

fDate

5-7 July 2006

Firstpage

383

Lastpage

388

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualization, 2006. IV 2006. Tenth International Conference on

Conference_Location

London, England

ISSN

1550-6037

Print_ISBN

0-7695-2602-0

Type

conf

DOI

10.1109/IV.2006.78

Filename

1648289