A Tool for Subjective and Interactive Visual Data Exploration

被引：4
|
作者：
Kang, Bo [1 ]
Puolamaki, Kai [2 ]
Lijffijt, Jefrey [1 ]
De Bie, Tijl [1 ]
机构：
[1] Univ Ghent, Data Sci Lab, Ghent, Belgium
[2] Finnish Inst Occupat Hlth, Helsinki, Finland
来源：
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2016, PT III | 2016年 / 9853卷
关键词：
D O I：
10.1007/978-3-319-46131-1_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present SIDE, a tool for Subjective and Interactive Visual Data Exploration, which lets users explore high dimensional data via subjectively informative 2D data visualizations. Many existing visual analytics tools are either restricted to specific problems and domains or they aim to find visualizations that align with user's belief about the data. In contrast, our generic tool computes data visualizations that are surprising given a user's current understanding of the data. The user's belief state is represented as a set of projection tiles. Hence, this user-awareness offers users an efficient way to interactively explore yet-unknown features of complex high dimensional datasets.
引用
收藏
页码：3 / 7
页数：5
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