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