Image graphs—a novel approach to visual data exploration
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A model for the visualization exploration process
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Deploying Web-Based Visual Exploration Tools on the Grid
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A History Mechanism for Visual Data Mining
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Collecting and Harnessing Rich Session Histories
IV '06 Proceedings of the conference on Information Visualization
Challenges in Visual Data Analysis
IV '06 Proceedings of the conference on Information Visualization
Provenance and Annotation for Visual Exploration Systems
IEEE Transactions on Visualization and Computer Graphics
Voyagers and voyeurs: supporting asynchronous collaborative information visualization
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Toward a Deeper Understanding of the Role of Interaction in Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Your place or mine?: visualization as a community component
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supporting the analytical reasoning process in information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design considerations for collaborative visual analytics
Information Visualization - Special issue on visual analytics science and technology
Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation
IEEE Transactions on Visualization and Computer Graphics
Behavior-driven visualization recommendation
Proceedings of the 14th international conference on Intelligent user interfaces
The science of analytic reporting
Information Visualization
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In this paper, we discuss the use of analytic trails to support the needs of business users when conducting visual data analysis, focusing particularly on the aspects of analytic provenance, asynchronous collaboration, and reuse of analyses. We present a prototype implementation of analytic trail technology as part of Smarter Decisions - a web-based visual analytic tool, with the goal of helping business users derive insights from structured and unstructured data. To understand the value and shortcomings of trails in supporting visual analytic tasks in business environments, we performed a user study with 21 participants. While the majority of participants found trails to be useful for capturing and understanding the provenance of an analysis, they viewed trails as more valuable for personal use rather than for communicating the analytic process to other people as part of a collaboration. Study results also indicate that rich search mechanisms for easily finding relevant trails (or portions of a trail) is critical to the successful adaptation and reuse of existing saved trails.