Jörn Schneidewind

30 papers B 5C 2Misc 4Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2018	J	`jnl`	Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. IEEE Trans. Intell. Transp. Syst. Hansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck
2010	B	`conf`	Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. AVI Andrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind
2009	—	`conf`	Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. IEEE VAST Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim
2008	—	`ch.`	Visual Analytics: Scope and Challenges. Visual Data Mining Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, James J. Thomas, Hartmut Ziegler
2007	J	`jnl`	An automated approach for the optimization of pixel-based visualizations. Inf. Vis. Jörn Schneidewind, Mike Sips, Daniel A. Keim
2007	J	`jnl`	Highlighting space-time patterns: Effective visual encodings for interactive decision-making. Int. J. Geogr. Inf. Sci. Mike Sips, Jörn Schneidewind, Daniel A. Keim
2007	—	`conf`	Intelligent Visual Analytics Queries. IEEE VAST Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind
2007	J	`jnl`	Introduction. SIGKDD Explor. Daniel A. Keim, Jörn Schneidewind
2007	—	`—`	Scalable visual analytics: solutions and techniques for business applications. Jörn Schneidewind
2006	B	`conf`	A Spectral Visualization System for Analyzing Financial Time Series Data. EuroVis Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler
2006	J	`jnl`	Business process impact visualization and anomaly detection. Inf. Vis. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
2006	C	`conf`	Challenges in Visual Data Analysis. IV Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler
2006	—	`conf`	Monitoring Network Traffic with Radial Traffic Analyzer. IEEE VAST Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck
2006	—	`conf`	Pixnostics: Towards Measuring the Value of Visualization. IEEE VAST Jörn Schneidewind, Mike Sips, Daniel A. Keim
2006	—	`conf`	Scalable Pixel Based Visual Data Exploration. VIEW Daniel A. Keim, Jörn Schneidewind, Mike Sips
2006	C	`conf`	Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
2005	B	`conf`	Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
2005	J	`jnl`	Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. Univers. Comput. Sci. Daniel A. Keim, Jörn Schneidewind
2005	B	`conf`	VisBiz: A Business Process Visualization Case Study. EuroVis Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
2005	Misc	`conf`	VisImpact: business impact visualization. Visualization and Data Analysis Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
2005	Misc	`conf`	Visual mining geo-related data using pixel bar charts. Visualization and Data Analysis Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Peter Wright, Jörn Schneidewind
2004	Misc	`conf`	Analyzing Large Collections of Email. IKE Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004	B	`conf`	CircleView: a new approach for visualizing time-related multidimensional data sets. AVI Daniel A. Keim, Jörn Schneidewind, Mike Sips
2004	—	`conf`	Exploring and Visualizing the History of InfoVis. INFOVIS Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
2004	—	`conf`	Finding Spatial Patterns in Network Data. PaRMa Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004	—	`conf`	Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004	—	`conf`	Interactive Poster: Visual Mining of Business Process Data. INFOVIS Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
2003	Misc	`conf`	Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal
2003	J	`jnl`	Visualizing geographic information: VisualPoints vs. CartoDraw. Inf. Vis. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind
2002	—	`conf`	Efficient Cartogram Generation: A Comparison. INFOVIS Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind