A Tool for Subjective and Interactive Visual Data Exploration
Abstract
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.
Cite
Text
Kang et al. "A Tool for Subjective and Interactive Visual Data Exploration." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_1Markdown
[Kang et al. "A Tool for Subjective and Interactive Visual Data Exploration." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/kang2016ecmlpkdd-tool/) doi:10.1007/978-3-319-46131-1_1BibTeX
@inproceedings{kang2016ecmlpkdd-tool,
title = {{A Tool for Subjective and Interactive Visual Data Exploration}},
author = {Kang, Bo and Puolamäki, Kai and Lijffijt, Jefrey and De Bie, Tijl},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2016},
pages = {3-7},
doi = {10.1007/978-3-319-46131-1_1},
url = {https://mlanthology.org/ecmlpkdd/2016/kang2016ecmlpkdd-tool/}
}