INFOVIS 1999: San Francisco, California, USA

Understanding Time Dependent & Evolving Information

• Jarke J. van Wijk, Edward R. van Selow:
  Cluster and Calendar Based Visualization of Time Series Data. 4-9
  
• Chris Stolte, Robert Bosch, Pat Hanrahan, Mendel Rosenblum:
  Visualizing Application Behavior on Superscalar Processors. 10-17
  
• Ed Huai-hsin Chi, Stuart K. Card:
  Sensemaking of Evolving Web Sites Using Visualization Spreadsheets. 18-25
  

Evaluation & Design of Visualization Systems

• Benjamin B. Bederson, Angela Boltman:
  Does Animation Help Users Build Mental Maps of Spatial Information? 28-35
  
• Kerry Rodden, Wojciech Basalaj, David Sinclair, Kenneth R. Wood:
  Evaluating a Visualization of Image Similarity as a Tool for Image Browsing. 36-43
  
• Octavio Juarez Espinosa, Chris Hendrickson, James H. Garrett Jr.:
  Domain Analysis: A Technique to Design a User-Centered Visualization Framework. 44-52
  
• Staffan Björk, Lars Erik Holmquist, Johan Redström:
  A Framework for Focus+Context Visualization. 53-56
  

Investigating Hierarchies & Graphs

• Ying-Huey Fua, Matthew O. Ward, Elke A. Rundensteiner:
  Navigating Hierarchies with Structure-Based Brushes. 58-64
  
• Richard M. Wilson, R. Daniel Bergeron:
  Dynamic Hierarchy Specification and Visualization. 65-72
  
• Jarke J. van Wijk, Huub van de Wetering:
  Cushion Treemaps: Visualization of Hierarchical Information. 73-78
  
• Hidekazu Shiozawa, Ken-ichi Okada, Yutaka Matsushita:
  3D Interactive Visualization for Inter-Cell Dependencies of Spreadsheets. 79-82
  

Techniques for Broad-Scope Problems

• Mark Derthick, James Harrison, Andrew Moore, Steven F. Roth:
  Efficient Multi-Object Dynamic Query Histograms. 84-91
  
• James K. Rayson:
  Aggregate Towers: Scale Sensitive Visualization and Decluttering of Geospatial Data. 92-99
  
• Michael Higgins, Peter Lucas, Jeffrey Senn:
  VisageWeb: Visualizing WWW Data in Visage. 100-107
  

Data Mining & High Dimensional Visualization

• Alfred Inselberg, Tova Avidan:
  The Automated Multidimensional Detective. 112-119
  
• Pak Chung Wong, Paul Whitney, Jim Thomas:
  Visualizing Association Rules for Text Mining. 120-123
  
• Ming C. Hao, Umeshwar Dayal, Meichun Hsu, Jim Baker, Bob Deletto:
  A Java-Based Visual Mining Infrastructure and Applications. 124-127
  
• Stuart J. Rose:
  The Sunflower Visual Metaphor, a New Paradigm for Dimensional Compression. 128-131
  
• Tamara Munzner, François Guimbretière, George G. Robertson:
  Constellation: A Visualization Tool for Linguistic Queries from MindNet. 132-135
  

• Color Plates.
  

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