Datenanalyse und Visualisierung

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Manuel Stein

Mitarbeiter

E-Mail: Manuel.Stein(at)uni-konstanz.de
Telefon: +49 (0)7531 88-3076
Raum: D 217
Adresse: Universität Konstanz
Fachbereich Informatik und Informationswissenschaft
Box D78
78457 Konstanz, Germany
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Über Mich

Ich bin Doktorand am Lehrstuhl für Datenanalyse und Visualisierung an der Universität Konstanz. Meine Forschungsinteressen beinhalten Bewegungs- und Teamsportanalyse. Hierbei interessiere ich mich besonders für Mustererkennung, Entscheidungsprozesse sowie kontextbezogene visuelle Analyse.

Lehre

Sommersemester 2017 Übung: Geographische Informationssysteme (GIS)
Wintersemester 2016/17 Übung: Information Visualization I
Sommersemester 2016 Übung: Geographische Informationssysteme (GIS)
Wintersemester 2015/16 Übung: Information Visualization I
Sommersemester 2015 Übung: Geographische Informationssysteme (GIS)
Wintersemester 2014/15 Übung: Analyse und Visualisierung von Information

Publikationen

Publications
2017
D. Sacha, F. Al-Masoudi, M. Stein, T. Schreck, D. A. Keim, G. Andrienko and H. Janetzko.
Dynamic Visual Abstraction of Soccer Movement.
Eurographics Conference on Visualization (EuroVis 2017), to appear, 2017.
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M. Stein, H. Janetzko, D. Seebacher, A. Jäger, M. Nagel, J. Hölsch, S. Kosub, T. Schreck, D. A. Keim and M. Grossniklaus.
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects.
Data, Special Issue Geospatial Data, 2(1):2, DOI: 10.3390/data2010002, 2017.
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2016
M. Stein, H. Janetzko, A. Lamprecht, D. Seebacher, T. Schreck, D. A. Keim and M. Grossniklaus.
From Game Events to Team Tactics: Visual Analysis of Dangerous Situations in Multi-Match Data.
2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW), pages 1-9, DOI: 10.1109/TISHW.2016.7847777, 2016.
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P. Wiener, M. Stein, D. Seebacher, J. Bruns, M. Frank, V. Simko, S. Zander and J. Nimis.
BigGIS: A Continuous Refinement Approach to Master Heterogeneity and Uncertainty in Spatio-Temporal Big Data (Vision Paper).
24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), DOI: 10.1145/2996913.2996931, 2016.
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J. Buchmüller, M. Stein, A. Jäger, S. Schmidt, H. Senaratne and H. Janetzko.
Fusing Events, Tasks and Spatial Awareness in an Ambient-Enabled Work Environment.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1), 2016.
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M. Stein, H. Janetzko, T. Breitkreutz, D. Seebacher, T. Schreck, M. Grossniklaus, I. Couzin and D. A. Keim.
Director's Cut: Analysis and Annotation of Soccer Matches.
IEEE Computer Graphics and Applications, 36(5):50-60, DOI: 10.1109/MCG.2016.102, 2016.
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D. Seebacher, M. Stein, H. Janetzko and D. A. Keim.
Patent Retrieval: A Multi-Modal Visual Analytics Approach.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, pages 013-017, DOI: 10.2312/eurova.20161118, 2016.
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H. Janetzko, M. Stein, D. Sacha and T. Schreck.
Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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L. Shao, D. Sacha, B. Neldner, M. Stein and T. Schreck.
Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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2015
M. Stein, J. Häußler, D. Jäckle, H. Janetzko, T. Schreck and D. A. Keim.
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction.
ISPRS International Journal of Geo-Information, Special Issue Advances in Spatio-Temporal Data Analysis and Mining , DOI: 10.3390/ijgi4042159, 2015.
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D. Spretke, M. Stein, L. Sharalieva, A. Warta, V. Licht, T. Schreck and D. A. Keim.
Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research.
19th International Conference on Information Visualization Workshop GeoVisual Analytics, DOI: 10.1109/iV.2015.63, 2015.
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2014
M. El-Assady, W. Jentner, M. Stein, F. Fischer, T. Schreck and D. A. Keim.
Predictive Visual Analytics – Approaches for Movie Ratings and Discussion of Open Research Challenges.
Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, 2014.
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H. Janetzko, D. Sacha, M. Stein, T. Schreck, D. A. Keim and O. Deussen.
Feature-Driven Visual Analytics of Soccer Data.
Proceedings of the 2014 IEEE Symposium on Visual Analytics Science and Technology (VAST '14), DOI: 10.1109/VAST.2014.7042477, 2014.
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2013
F. Al-Masoudi, D. Seebacher, M. Schreiner, M. Stein, C. Rohrdantz, F. Fischer, S. Simon, T. Schreck and D. A. Keim.
Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results.
VAST Challenge 2013 - Award for Effective Visualization, 2013.
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