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Jörn Schneidewind
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2010 – 2019
- 2018
- [j7]Hansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck:
Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. IEEE Trans. Intell. Transp. Syst. 19(5): 1537-1546 (2018) - 2010
- [c21]Andrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind:
Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. AVI 2010: 49-56
2000 – 2009
- 2009
- [c20]Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim:
Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. IEEE VAST 2009: 59-66 - 2008
- [p1]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, James J. Thomas, Hartmut Ziegler:
Visual Analytics: Scope and Challenges. Visual Data Mining 2008: 76-90 - 2007
- [b1]Jörn Schneidewind:
Scalable visual analytics: solutions and techniques for business applications. University of Konstanz, 2007 - [j6]Mike Sips, Jörn Schneidewind, Daniel A. Keim:
Highlighting space-time patterns: Effective visual encodings for interactive decision-making. Int. J. Geogr. Inf. Sci. 21(8): 879-893 (2007) - [j5]Jörn Schneidewind, Mike Sips, Daniel A. Keim:
An automated approach for the optimization of pixel-based visualizations. Inf. Vis. 6(1): 75-88 (2007) - [j4]Daniel A. Keim, Jörn Schneidewind:
Introduction. SIGKDD Explor. 9(2): 3-4 (2007) - [c19]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind:
Intelligent Visual Analytics Queries. IEEE VAST 2007: 91-98 - 2006
- [j3]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
Business process impact visualization and anomaly detection. Inf. Vis. 5(1): 15-27 (2006) - [c18]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck:
Monitoring Network Traffic with Radial Traffic Analyzer. IEEE VAST 2006: 123-128 - [c17]Jörn Schneidewind, Mike Sips, Daniel A. Keim:
Pixnostics: Towards Measuring the Value of Visualization. IEEE VAST 2006: 199-206 - [c16]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler:
Challenges in Visual Data Analysis. IV 2006: 9-16 - [c15]Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann:
Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV 2006: 32-38 - [c14]Daniel A. Keim, Jörn Schneidewind, Mike Sips:
Scalable Pixel Based Visual Data Exploration. VIEW 2006: 12-24 - [c13]Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler:
A Spectral Visualization System for Analyzing Financial Time Series Data. EuroVis 2006: 195-202 - 2005
- [j2]Daniel A. Keim, Jörn Schneidewind:
Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. Univers. Comput. Sci. 11(11): 1766-1779 (2005) - [c12]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Peter Wright, Jörn Schneidewind:
Visual mining geo-related data using pixel bar charts. Visualization and Data Analysis 2005: 87-94 - [c11]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
VisImpact: business impact visualization. Visualization and Data Analysis 2005: 238-249 - [c10]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
VisBiz: A Business Process Visualization Case Study. EuroVis 2005: 109-116 - [c9]Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips:
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254 - 2004
- [c8]Daniel A. Keim, Jörn Schneidewind, Mike Sips:
CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004: 179-182 - [c7]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Analyzing Large Collections of Email. IKE 2004: 275-281 - [c6]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004 - [c5]Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips:
Exploring and Visualizing the History of InfoVis. INFOVIS 2004 - [c4]Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Finding Spatial Patterns in Network Data. PaRMa 2004 - [c3]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004: 213-220 - 2003
- [j1]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Visualizing geographic information: VisualPoints vs. CartoDraw. Inf. Vis. 2(1): 58-67 (2003) - [c2]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal:
Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003: 37-51 - 2002
- [c1]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36
Coauthor Index
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