Project A03

A03 | Quantification of Visual Analytics Transformations and Mappings

Prof. Daniel A. Keim, Universität Konstanz
Email | Website

Prof. Daniel Weiskopf, Universität Stuttgart
Email | Website

Michael Blumenschein (formerly: Hund), Universität Konstanz – Website

About this project
Results

High-dimensional data analysis requires dealing with numerous challenges, such as selecting meaningful dimensions, finding relevant projections, and removing noise. As a result, the extraction of relevant and meaningful information from high-dimensional data is a difficult problem. This project aims at advancing the field of quality-metric-driven data visualization with the central research question of how to quantify the quality of transformations and mappings of high-dimensional data for visual analytics.

Research Questions

How can we measure and quantify the quality of a visualization? In which way do methods in the data space differ from methods in the image space?

How can we compare the measured quality of a visualization with the perception of a human?

How can the user be involved into a quality-metric-driven process of visual mappings and transformations?

What is the influence of perceptual effects on quality measures? Can we enhance the visual representation of information by introducing perceptual effects into visualizations?

Map visualization with original (top) and transformed (bottom) data. Adapted from: Schneidewind et al. "Pixnostics: Towards measuring the value of visualization." VAST, 2006.

Optimized ordering of dimensions in a Parallel Coordinate Plot to support cluster and correlation analysis. Adapted from: Johansson & Johansson. "Interactive dimensionality reduction through user-defined combinations of quality metrics." Visualization and Computer Graphics, 2009.

Publications

Sacha, D.; Kraus, M.; Bernard, J.; u. a. (2017): SOMFlow: Guided exploratory cluster analysis with self-organizing maps and analytic provenance. IEEE Conference on Visual Analytics Science and Technology. o.V. (IEEE Conference on Visual Analytics Science and Technology).
- BibTeX
@proceedings{sacha2017somflow, added-at = {2017-07-18T09:00:24.000+0200}, author = {Sacha, D. and Kraus, M. and Bernard, J. and Behrisch, M. and Schreck, T. and Asano, Y. and Keim, D. A}, booktitle = {IEEE Conference on Visual Analytics Science and Technology}, interhash = {40aa722c455ae0d0aadf17c0418500c2}, intrahash = {6a44dc0906b55ece7d9f46646ca0ed18}, keywords = {sfbtrr161 sys:hidden:A03 sys:hidden:unikonstanz}, timestamp = {2017-07-18T09:04:56.000+0200}, title = {SOMFlow: Guided exploratory cluster analysis with self-organizing maps and analytic provenance}, year = 2017 }
Hund, Michael; Böhm, Dominic; Sturm, Werner; u. a. (2016a): „Visual analytics for concept exploration in subspaces of patient groups.“. In: Brain Informatics. (Brain Informatics) 3 (4), S. 233–247.
- BibTeX
- Link
@article{hund2016visual, added-at = {2017-01-30T09:59:07.000+0100}, author = {Hund, Michael and Böhm, Dominic and Sturm, Werner and Sedlmair, Michael and Schreck, Tobias and Ullrich, Torsten and Keim, Daniel A. and Majnaric, Ljiljana and Holzinger, Andreas}, interhash = {0a2b9f51f84b62e9efdf7ac0aaf30572}, intrahash = {a89894d4fb762875b0b98b6319bacc90}, journal = {Brain Informatics}, keywords = {sfbtrr161 sys:hidden:A03 sys:hidden:unikonstanz}, number = 4, pages = {233-247}, timestamp = {2017-01-30T09:59:07.000+0100}, title = {Visual analytics for concept exploration in subspaces of patient groups.}, url = {http://dx.doi.org/10.1007/s40708-016-0043-5}, volume = 3, year = 2016 }
Behrisch, M.; Bach, B.; Hund, M.; u. a. (2016): „Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration.“. In: Society, IEEE Computer (Hrsg.), S. 99.
- BibTeX
- Link
@conference{behrisch2016appear, added-at = {2017-01-30T09:55:01.000+0100}, author = {Behrisch, M. and Bach, B. and Hund, M. and von Rüden, L. and Delz, M. and Fekete, J.-D. and Schreck, T.}, editor = {Society, IEEE Computer}, interhash = {19e40664584c96abd3e17999a9f8e604}, intrahash = {7e1bb6c3de644c187413c42ddf15c635}, keywords = {sfbtrr161 sys:hidden:A03 sys:hidden:unikonstanz}, number = {1-1}, pages = 99, timestamp = {2017-07-18T09:07:50.000+0200}, title = {Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration.}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598467}, volume = 23, year = 2016 }
Jäckle, D.; Stoffel, F.; Mittelstädt, S.; u. a. (2017): „Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.“. In: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging; Theory, Computer Graphics; 2017), Applications (VISIGRAPP (Hrsg.), S. 164–175.
- BibTeX
- Link
@inproceedings{jackle2017appear, added-at = {2017-01-30T09:52:01.000+0100}, author = {Jäckle, D. and Stoffel, F. and Mittelstädt, S. and Keim, D. A. and Reiterer, H.}, editor = {Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Theory, Computer Graphics and 2017), Applications (VISIGRAPP}, interhash = {2fa1480bfe3b9622e0c0a80a36cd21e4}, intrahash = {d5aed64277c841a911ccfbd0ce1f9e1b}, keywords = {sfbtrr161 sys:hidden:a03 sys:hidden:c01 sys:hidden:unikonstanz}, number = 2017, pages = {164-175}, timestamp = {2017-03-07T09:23:39.000+0100}, title = {Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.}, url = {https://bib.dbvis.de/publications/details/697}, year = 2017 }
Hund, Michael; Färber, Ines; Behrisch, Michael; u. a. (2016b): „Visual Quality Assessment of Subspace Clusterings“. In: KDD 2016, IDEA (Hrsg.).
- BibTeX
@inproceedings{hund2016visual, added-at = {2016-07-19T09:52:16.000+0200}, author = {Hund, Michael and Färber, Ines and Behrisch, Michael and Tatu, Andrada and Schreck, Tobias and Keim, Daniel A. and Seidl, Thomas}, description = {KDD 2016 Interactive Data Exploration and Analytics (IDEA)}, editor = {KDD 2016, IDEA}, interhash = {c84b0b6c38d7160a9a03a8e49f5e06bc}, intrahash = {38b4b6e088561c4f4c7a85bbf9a0f8e7}, keywords = {sfbtrr161 sys:hidden:A03 sys:hidden:unikonstanz}, timestamp = {2016-07-19T09:56:02.000+0200}, title = {Visual Quality Assessment of Subspace Clusterings}, year = 2016 }
Hund, Michael; Behrisch, Michael; Farber, Ines; u. a. (2015): „Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion“. In: 8th International Conference, SISAP 2015 (Hrsg.).
- BibTeX
@inproceedings{hund2015subspace, added-at = {2016-03-23T13:44:45.000+0100}, author = {Hund, Michael and Behrisch, Michael and Farber, Ines and Sedlmair, Michael and Schreck, Tobias and Seidl, Thomas and Keim, Daniel}, editor = {8th International Conference, SISAP 2015}, interhash = {8e94d34944289305719e6d97075f5199}, intrahash = {464bac95845fb49a132d5a74549b52b2}, keywords = {sfbtrr161 sys:hidden:A03 sys:hidden:unikonstanz}, month = {Oktober}, timestamp = {2016-03-23T16:16:54.000+0100}, title = {Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion}, year = 2015 }