Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts
D. Jäckle, F. Stoffel, S. Mittelstädt, D. Keim, und H. Reiterer. Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 3, Seite 164-175. (2017)
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Conference Paper
%1 jackle2017appear
%A Jäckle, Dominik
%A Stoffel, Florian
%A Mittelstädt, Sebastian
%A Keim, Daniel A.
%A Reiterer, Harald
%B Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
%D 2017
%K sfbtrr161 sfb dfg c01 sfbtrr161-c sfbtrr161-a03 a03 sfbtrr161-a visus:keimdl visus:reiterhd tiger-generation:638907351460242356
%P 164-175
%T Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts
%U https://bib.dbvis.de/publications/details/697
%V 3
@inproceedings{jackle2017appear,
added-at = {2025-08-14T04:28:21.000+0200},
affiliation = {Keim, Daniel A., Universität Konstanz. Reiterer, Harald, Universtität Konstanz},
author = {Jäckle, Dominik and Stoffel, Florian and Mittelstädt, Sebastian and Keim, Daniel A. and Reiterer, Harald},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ce0b06c1193600a4fdc113a604c18796/sfbtrr161},
booktitle = {Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)},
interhash = {2fa1480bfe3b9622e0c0a80a36cd21e4},
intrahash = {ce0b06c1193600a4fdc113a604c18796},
keywords = {sfbtrr161 sfb dfg c01 sfbtrr161-c sfbtrr161-a03 a03 sfbtrr161-a visus:keimdl visus:reiterhd tiger-generation:638907351460242356},
orcid-numbers = {Reiterer, Harald/0000-0001-8528-8928},
pages = {164-175},
timestamp = {2025-08-14T04:28:21.000+0200},
title = {Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts},
url = {https://bib.dbvis.de/publications/details/697},
volume = 3,
year = 2017
}