VizAssist: an interactive user assistant for visual data mining

被引：27

作者：

Bouali, Fatma ^{[1
,2
]}

Guettala, Abdelheq ^{[2
]}

Venturini, Gilles ^{[2
]}

机构：

[1] Univ Lille 2, IUT, 25-27 Rue Marechal Foch, F-59100 Roubaix, France

[2] Univ Tours, Comp Sci Lab, 64 Ave Jean Portalis, F-37200 Tours, France

来源：

VISUAL COMPUTER | 2016年 / 32卷 / 11期

关键词：

Visual data mining; User assistant; Interactive genetic algorithm; D3[!text type='js']js[!/text; On-line visualization tools; VISUALIZATION; DESIGN; ALGORITHM; METRICS; SPACE;

D O I：

10.1007/s00371-015-1132-9

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We study in this work how a user can be guided to find a relevant visualization in the context of visual data mining. We present a state of the art on the user assistance in visual and interactive methods. We propose a user assistant called VizAssist, which aims at improving the existing approaches along three directions: it uses simpler computational models of the visualizations and the visual perception guidelines, in order to facilitate the integration of new visualizations and the definition of a mapping heuristic. VizAssist allows the user to provide feedback in a visual and interactive way, with the aim of improving the data to visualization mapping. This step is performed with an interactive genetic algorithm. Finally, VizAssist aims at proposing a free on-line tool () that respects the privacy of the user data. This assistant can be viewed as a global interface between the user and some of the many visualizations that are implemented with D3js.

引用

页码：1447 / 1463

页数：17

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