Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World

Matthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel Keim, Manuel Stein

Abstract

Visual data exploration is a useful means to extract relevant information from large sets of data. The visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Subsequently, the resulting knowledge is associated with the real world and applied to it. However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information. It can easily happen that crucial context information is disregarded, leading to false conclusions about the real world. Therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world. The purpose of this paper is to raise awareness of this discrepancy between the data world and the real world which has a high impact on the validity of analysis results in the real world. We propose two strategies which help to identify and remove specific differences between the data world and the real world. The usefulness and applicability of our strategies are demonstrated via several use cases.

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Paper Citation


in Harvard Style

Kraus M., Weiler N., Breitkreutz T., Keim D. and Stein M. (2019). Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-354-4, pages 19-27. DOI: 10.5220/0007257400190027


in Bibtex Style

@conference{ivapp19,
author={Matthias Kraus and Niklas Weiler and Thorsten Breitkreutz and Daniel Keim and Manuel Stein},
title={Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2019},
pages={19-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007257400190027},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World
SN - 978-989-758-354-4
AU - Kraus M.
AU - Weiler N.
AU - Breitkreutz T.
AU - Keim D.
AU - Stein M.
PY - 2019
SP - 19
EP - 27
DO - 10.5220/0007257400190027