DocumentCode :
568373
Title :
A User Assistant for the Selection and Parameterization of the Visualizations in Visual Data Mining
Author :
Guettala, Abdelheq Et-Tahir ; Bouali, Fatma ; Guinot, Christiane ; Venturini, Gilles
Author_Institution :
Comput. Sci. Lab., Univ. Franois-Rabelais of Tours, Tours, France
fYear :
2012
fDate :
11-13 July 2012
Firstpage :
252
Lastpage :
257
Abstract :
We deal in this paper with the problem of automating the process of choosing an appropriate visualization and its parameters in the context of visual data mining (VDM). To solve this problem, we develop a user assistant that performs 2 steps: the system starts by suggesting to users different mappings between their data and possible visualizations. This is performed with a simple but generic heuristic that can be applied to any visualization. Then, the user selects a visualization among those proposed by our assistant, and he may further improve the parameters set that defines the mapping between the visual attributes and the data attributes. For this purpose, we use an interactive genetic algorithm (IGA), which allows users to visually evaluate and adjust the mappings. We present a user evaluation that confirms the interest of our system in two tasks.
Keywords :
data mining; data visualisation; genetic algorithms; interactive systems; IGA; VDM; data attributes; interactive genetic algorithm; user assistance; user selection; visual attributes; visual data mining; visualization parameterization; visualization selection; Data mining; Data models; Data visualization; Engines; Genetic algorithms; Visualization; Human- Computer Interaction; Interactive Genetic Algorithm; User Assistant; Visual Data Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2012 16th International Conference on
Conference_Location :
Montpellier
ISSN :
1550-6037
Print_ISBN :
978-1-4673-2260-7
Type :
conf
DOI :
10.1109/IV.2012.50
Filename :
6295822
Link To Document :
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