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Visual Analytics: Scope and Challenges

Visual Data Mining, p.76-90

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Business Process Impact Visualization and Anomaly Detection

Information visualization, 2006-03, Vol.5 (1), p.15-27

2006

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Challenges in Visual Data Analysis

Tenth International Conference on Information Visualisation (IV'06), 2006, p.9-16

2006

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An automated approach for the optimization of pixel-based visualizations

Information visualization, 2007-04, Vol.6 (1), p.75-88

2007

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Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach

IEEE transactions on intelligent transportation systems, 2018-05, Vol.19 (5), p.1537-1546

2018

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CircleView: a new approach for visualizing time-related multidimensional data sets

AVI: Proceedings of the working conference on Advanced visual interfaces; 25-28 May 2004, 2004, p.179-182

2004

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Visualizing Geographic Information: VisualPoints vs CartoDraw

Information visualization, 2003-03, Vol.2 (1), p.58-67

2003

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Combining automated analysis and visualization techniques for effective exploration of high-dimensional data

2009 IEEE Symposium on Visual Analytics Science and Technology, 2009, p.59-66

2009

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Pixnostics: Towards Measuring the Value of Visualization

2006 IEEE Symposium On Visual Analytics Science And Technology, 2006, p.199-206

2006

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Scalable Pixel-based Visual Interfaces: Challenges and Solutions

Tenth International Conference on Information Visualisation (IV'06), 2006, p.32-38

2006

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Pushing the Limit in Visual Data Exploration: Techniques and Applications

KI 2003: Advances in Artificial Intelligence, 2003, p.37-51

2003

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Monitoring Network Traffic with Radial Traffic Analyzer

2006 IEEE Symposium On Visual Analytics Science And Technology, 2006, p.123-128

2006

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Scalable Visual Data Exploration of Large Data Sets via MultiResolution

2005

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Exploring and Visualizing the History of InfoVis

IEEE Symposium on Information Visualization, 2004, p.r6-r6

2004

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Session details: Visual analytics

SIGKDD explorations, 2007-12, Vol.9 (2)

2007

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Development of diabetes requires preventive action. "It is our goal to cure diabetes" (interview by Wolfgang van den Bergh, Wolfgang Geissel and Helmut Laschet)

MMW Fortschritte der Medizin, 2011-08, Vol.153 (32-34), p.12

2011

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Development of diabetes requires preventive action. "It is our goal to cure diabetes" (interview by Wolfgang van den Bergh, Wolfgang Geissel and Helmut Laschet)

MMW Fortschritte der Medizin, 2011, Vol.153 (32-34), p.12-12

2011

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Visual Analytics: Scope and Challenges

Business Process Impact Visualization and Anomaly Detection

Challenges in Visual Data Analysis

An automated approach for the optimization of pixel-based visualizations

Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach

CircleView: a new approach for visualizing time-related multidimensional data sets

Visualizing Geographic Information: VisualPoints vs CartoDraw

Combining automated analysis and visualization techniques for effective exploration of high-dimensional data

Pixnostics: Towards Measuring the Value of Visualization

Scalable Pixel-based Visual Interfaces: Challenges and Solutions

Pushing the Limit in Visual Data Exploration: Techniques and Applications

Monitoring Network Traffic with Radial Traffic Analyzer

Scalable Visual Data Exploration of Large Data Sets via MultiResolution

Exploring and Visualizing the History of InfoVis

Session details: Visual analytics

Development of diabetes requires preventive action. "It is our goal to cure diabetes" (interview by Wolfgang van den Bergh, Wolfgang Geissel and Helmut Laschet)

Development of diabetes requires preventive action. "It is our goal to cure diabetes" (interview by Wolfgang van den Bergh, Wolfgang Geissel and Helmut Laschet)

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