Jörn Schneidewind - researchr alias

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Viewing Publication 1 - 30 from 30

2018

Urban Mobility Analysis With Mobile Network Data: A Visual Analytics ApproachHansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck. tits, 19(5):1537-1546, 2018. [doi]

2010

Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional dataAndrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind. avi 2010: 49-56 [doi]

2009

Combining automated analysis and visualization techniques for effective exploration of high-dimensional dataAndrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim. ieeevast 2009: 59-66 [doi]

2008

Visual Analytics: Scope and ChallengesDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 76-90, Springer, 2008. [doi]

2007

Intelligent Visual Analytics QueriesMing C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind. ieeevast 2007: 91-98 [doi]

IntroductionDaniel A. Keim, Jörn Schneidewind. sigkdd, 9(2):3-4, 2007. [doi]

Scalable visual analytics: solutions and techniques for business applicationsJörn Schneidewind. PhD thesis, University of Konstanz, 2007. [doi]

An automated approach for the optimization of pixel-based visualizationsJörn Schneidewind, Mike Sips, Daniel A. Keim. ivs, 6(1):75-88, 2007. [doi]

Highlighting space-time patterns: Effective visual encodings for interactive decision-makingMike Sips, Jörn Schneidewind, Daniel A. Keim. gis, 21(8):879-893, 2007. [doi]

2006

Business process impact visualization and anomaly detectionMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind. ivs, 5(1):15-27, 2006. [doi]

Challenges in Visual Data AnalysisDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler. IV 2006: 9-16 [doi]

Scalable Pixel Based Visual Data ExplorationDaniel A. Keim, Jörn Schneidewind, Mike Sips. view 2007: 12-24 [doi]

A Spectral Visualization System for Analyzing Financial Time Series DataDaniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler. vissym 2006: 195-202 [doi]

Monitoring Network Traffic with Radial Traffic AnalyzerDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck. ieeevast 2006: 123-128 [doi]

Pixnostics: Towards Measuring the Value of VisualizationJörn Schneidewind, Mike Sips, Daniel A. Keim. ieeevast 2006: 199-206 [doi]

Scalable Pixel-based Visual Interfaces: Challenges and SolutionsMike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann. IV 2006: 32-38 [doi]

2005

2004

Interactive Poster: Visual Mining of Business Process DataMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind. infovis 2004: [doi]

Finding Spatial Patterns in Network DataRoland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. parma 2004: [doi]

Analyzing Large Collections of EmailDaniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. ike 2004: 275-281

Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree MapsDaniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. wscg 2004: 213-220

CircleView: a new approach for visualizing time-related multidimensional data setsDaniel A. Keim, Jörn Schneidewind, Mike Sips. avi 2004: 179-182 [doi]

Exploring and Visualizing the History of InfoVisDaniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips. infovis 2004: [doi]

2003

Visualizing geographic information: VisualPoints vs. CartoDrawDaniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind. ivs, 2(1):58-67, 2003. [doi]

Pushing the Limit in Visual Data Exploration: Techniques and ApplicationsDaniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal. ki 2003: 37-51 [doi]

2002

Efficient Cartogram Generation: A ComparisonDaniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind. infovis 2002: 33-36 [doi]

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2018

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