Datenanalyse und Visualisierung

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Florian Stoffel

Mitarbeiter

E-Mail: florian.stoffel(at)uni-konstanz.de
Telefon: +49 7531 88 - 3070
Fax: +49 7531 88 - 3268
Raum: D 334
Adresse: Universität Konstanz
Fachbereich Informatik und Informationswissenschaft
Box 78
78457 Konstanz, Germany

Research Interests

  • Natural Language Processing (NLP)
  • Crime Data Analysis and Visualization
  • Visual Analytics
  • Machine Learning

Teaching Assistance

WS 2007/2008Einführung in die Informatik
SS 2009Scripting Languages and Tools
WS 2013/2014Analyse und Visualisierung
SS 2014Applied Visual Analytics
WS 2014/2015Computational Methods for Document Analysis
SS 2016Applied Visual Analytics

Publikationen

Publications
2017
D. Jäckle, F. Stoffel, S. Mittelstädt, D. A. Keim and H. Reiterer.
Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Best Student Paper Award, pages 164-175, DOI: 10.5220/0006265101640175, 2017.
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2016
W. Jentner, G. Ellis, F. Stoffel, D. Sacha and D. A. Keim.
A Visual Analytics Approach for Crime Signature Generation and Exploration.
The Event Event: Temporal & Sequential Event Analysis, IEEE VIS 2016 Workshop, to appear, 2016.
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W. Jentner, M. El-Assady, D. Sacha, D. Jäckle and F. Stoffel.
Dynamite: Dynamic Monitoring Interface for Task Ensembles.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1) (Award - Notable Support for Streaming Analysis), 2016.
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J. Buchmüller, D. Jäckle, F. Stoffel and D. A. Keim.
SpaceCuts: Making Room for Visualizations on Maps.
Eurographics Conference on Visualization (EuroVis) - Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20161163, 2016.
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L. Zhang, C. Rooney, L. Nachmanson, W. Wong, B. C. Kwon, F. Stoffel, M. Hund, N. Qazi, U. Singh and D. A. Keim.
Spherical Similarity Explorer for Comparative Case Analysis.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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2015
F. Stoffel, D. Sacha, G. Ellis and D. A. Keim.
VAPD - A Visionary System for Uncertainty Aware Decision Making in Crime Analysis.
Symposium on Visualization for Decision Making Under Uncertainty at IEEE VIS 2015, 2015.
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F. Stoffel, L. Flekova, D. Oelke, I. Gurevych and D. A. Keim.
Feature-Based Visual Exploration of Text Classification.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015, 2015.
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D. Jäckle, F. Stoffel, B. C. Kwon, D. Sacha, A. Stoffel and D. A. Keim.
Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization.
Eurographics Conference on Visualization (EuroVis) - Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151125, 2015.
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S. Mittelstädt, D. Jäckle, F. Stoffel and D. A. Keim.
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks.
Eurographics Conference on Visualization (EuroVis) - Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151135, 2015.
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2014
F. Stoffel and F. Fischer.
Using a Knowledge Graph Data Structure to Analyze Text Documents.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC1), DOI: 10.1109/VAST.2014.7042551, 2014.
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F. Fischer and F. Stoffel.
NStreamAware: Real-Time Visual Analytics for Data Streams (VAST Challenge 2014).
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC3), DOI: 10.1109/VAST.2014.7042572, 2014.
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F. Fischer, F. Stoffel, S. Mittelstädt, T. Schreck and D. A. Keim.
Using Visual Analytics to Support Decision Making to Solve the Kronos Incident.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 GC), DOI: 10.1109/VAST.2014.7042537, 2014.
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B. C. Kwon, F. Stoffel, D. Jäckle, B. Lee and D. A. Keim.
VisJockey: Enriching Data Stories through Orchestrated Visualization.
Computation+Journalism, 2014.
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D. Sacha, A. Stoffel, F. Stoffel, B. C. Kwon, G. Ellis and D. A. Keim.
Knowledge Generation Model for Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2014), 20(12):1604 - 1613 , DOI: 10.1109/TVCG.2014.2346481, 2014.
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F. Stoffel, D. Jäckle and D. A. Keim.
Enhanced News-reading: Interactive and Visual Integration of Social Media Information.
LREC 2014 Workshop VisLR: Visualization as added value in the development, use and evaluation of Language Resources, 2014.
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H. Janetzko, F. Stoffel, S. Mittelstädt and D. A. Keim.
Anomaly Detection for Visual Analytics of Power Consumption Data.
Computer & Graphics, Elsevier, 38(0):27-37, DOI: 10.1016/j.cag.2013.10.006, 2014.
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2013
F. Stoffel, F. Fischer and D. A. Keim.
Finding Anomalies in Time-Series using Visual Correlation for Interactive Root Cause Analysis.
Proceedings of the VizSec Symposium on Visualization for Cyber Security, DOI: 10.1145/2517957.2517966, 2013.
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F. Fischer, D. Jäckle, D. Sacha, F. Stoffel and D. A. Keim.
Adaptive User-Aware Dashboard Design.
VAST Challenge 2013 - Honorable Mention, 2013.
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M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug, M. Hsu and F. Stoffel.
Visual sentiment analysis of customer feedback streams using geo-temporal term associations.
Information Visualization, SAGE Publications, 12(3-4):273-290, DOI: 10.1177/1473871613481691, 2013.
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2012
F. Stoffel, H. Janetzko and F. Mansmann.
Proportions in Categorical and Geographic Data: Visualizing the Results of Political Elections.
Proceedings of the AVI 2012, May 21 - 25, Capri Island (Naples), Italy, ACM Press, DOI: 10.1145/2254556.2254644, 2012.
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2011
E. Bertini, J. Buchmüller, F. Fischer, S. Huber, T. Lindemeier, F. Maaß, F. Mansmann, T. Ramm, M. Regenscheit, C. Rohrdantz, C. Scheible, T. Schreck, S. Sellien, F. Stoffel, M. Tautzenberger, M. Zieker and D. A. Keim.
Visual Analytics of Terrorist Activities Related to Epidemics.
Proc. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2011 - Grand Challenge Award), DOI: 10.1109/VAST.2011.6102498, 2011.
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