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Jörn Schneidewind Vis

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*2008
21EEDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler: Visual Analytics: Scope and Challenges. Visual Data Mining 2008: 76-90
2007
20EEJörn Schneidewind, Mike Sips, Daniel A. Keim: An automated approach for the optimization of pixel-based visualizations. Information Visualization 6(1): 75-88 (2007)
19EEMike Sips, Jörn Schneidewind, Daniel A. Keim: Highlighting space-time patterns: Effective visual encodings for interactive decision-making. International Journal of Geographical Information Science 21(8): 879-893 (2007)
18EEDaniel A. Keim, Jörn Schneidewind: Introduction. SIGKDD Explorations 9(2): 3-4 (2007)
2006
17EEDaniel 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
16EEMike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann: Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV 2006: 32-38
15EEDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler: Challenges in Visual Data Analysis. IV 2006: 9-16
14EEDaniel A. Keim, Jörn Schneidewind, Mike Sips: Scalable Pixel Based Visual Data Exploration. VIEW 2006: 12-24
13EEMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Business process impact visualization and anomaly detection. Information Visualization 5(1): 15-27 (2006)
2005
12EEMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: VisBiz: A Business Process Visualization Case Study. EuroVis 2005: 109-116
11EEDaniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips: Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254
10EEDaniel A. Keim, Jörn Schneidewind: Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. UCS 11(11): 1766-1779 (2005)
2004
9EEDaniel A. Keim, Jörn Schneidewind, Mike Sips: CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004: 179-182
8 Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Analyzing Large Collections of Email. IKE 2004: 275-281
7EEDaniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips: Exploring and Visualizing the History of InfoVis. INFOVIS 2004
6EEMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004
5EERoland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Finding Spatial Patterns in Network Data. PaRMa 2004
4 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
3EEDaniel 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
2EEDaniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Visualizing geographic information: VisualPoints vs. CartoDraw. Information Visualization 2(1): 58-67 (2003)
2002
1EEDaniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36

Coauthor Index

1Helmut Barro [7]
2Umeshwar Dayal [3] [6] [12] [13]
3Ming C. Hao [3] [6] [12] [13]
4Roland Heilmann [5]
5Daniel A. Keim [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21]
6Florian Mansmann [11] [15] [21]
7Tilo Nietzschmann [17]
8Stephen C. North [1] [2]
9Christian Panse [1] [2] [3] [4] [5] [7] [8] [11]
10Norman Schelwies [17]
11Tobias Schreck [17]
12Heidrun Schumann (Heidi Schumann) [16]
13Mike Sips [3] [4] [5] [7] [8] [9] [11] [14] [16] [19] [20]
14James J. Thomas (Jim Thomas) [21]
15Hartmut Ziegler [15] [17] [21]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)