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Citations
for Heer, Jeffrey
UIR-2004-04
Mackinlay, J. D. and Heer, J. (2004).
Wideband Displays: Mitigating Multiple Monitor Seams.
Proceedings of the Human Factors in Computing Systems Conference (CHI2004), Vienna, Austria.
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Information Interfaces
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[Abstract]
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UIR-2003-06
Heer, J. and Card, S. K. (2003).
Efficient User Interest Estimation in Fisheye Views.
Extended Abstracts of CHI 2003, Conference on Human Factors in Computing Systems, Fort Lauderdale, FL.
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Information Interfaces
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[Abstract]
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UIR-2003-05
Mackinlay, J. D., Heer, J. and Royer, C. (2003).
Wideband Visual Interfaces: Sensemaking on Multiple Monitors.
Technical Report.
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[Abstract]
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UIR-2003-04
Heer, J., Card, S. K., Heiser, J. and Pirolli, P. (2003).
AVID: Supporting the creation of scalable, responsive visualizations.
Working Paper.
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[Abstract]
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UIR-2002-10
Chi, E. H., Rosien, A. and Heer, J. (2002).
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.
ACM-SIGKDD Workshop on Web Mining for Usage Patterns and User Profiles, Edmonton, Canada.
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Webology
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[Abstract]
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UIR-2002-03
Waterson, S., Hong, J. I., Sohn, T., Heer, J., Matthews, T. and Landay, J. A. (2002).
What Did They Do? Understanding Clickstreams with the WebQuilt Visualization System.
Advanced Visual Interfaces, Trento, Italy.
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Tools
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[Abstract]
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UIR-2002-02
Heer, J. and Chi, E. H. (2002).
Mining the Structure of User Activity using Cluster Stability.
SIAM International Conference on Data Mining, Workshop on Web Analytics, Arlington, VA.
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Information Scent
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[Abstract]
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UIR-2001-05
Heer, J. and Chi, E. H. (2002).
Separating the Swarm: Categorization Methods for User Access Sessions on the Web.
Proc. of the Human Factor in Computing Systems Conference (CHI 2002), Minneapolis, MN.
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Information Scent
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[Abstract]
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UIR-2001-04
Hong, J. I., Heer, J., Waterson, S. and Landay, J. A. (2001).
WebQuilt: A Proxy-based Approach to Remote Web Usability Testing.
ACM Transactions on Information Systems.
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Tools
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[Abstract]
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UIR-2001-03
Heer, J. and Chi, E. H. (2001).
Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent.
Proceedings of the Workshop on Web Mining, SIAM Conference on Data Mining, Chicago, IL 51-58.
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Information Scent
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[Abstract]
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