An implicit surface polygonizer
Graphics gems IV
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of a tool for visualization of information retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Information Retrieval Systems: Theory and Implementation
Information Retrieval Systems: Theory and Implementation
Introduction to Implicit Surfaces
Introduction to Implicit Surfaces
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Shape of Shakespeare: Visualizing Text using Implicit Surfaces
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Visualizing the results of multimedia Web search engines
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
A spreadsheet approach to information visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Representing high-dimensional data sets as closed surfaces
Information Visualization
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Visual data mining requires a tightly coupled visual interface with underlying information retrieval and analysis engines. To be useful, these techniques must augment human exploration and discovery beyond existing methods. Since the focus of data mining is to provide humans with supporting tools to think and explore, human perceptual issues are an important component of effective visual interfaces for such systems.In this article we describe a shape-based visual interface for information retrieval and interactive exploration. Our exploratory system uses procedurally generated shapes coupled with an underlying text retrieval engine. Traditional text-based queries and summarization are enhanced with a visual interface based on 3D shapes (glyphs). Our interface allows visualizing multidimensional relationships among documents and perceiving more information than with conventional text-based interfaces. It promotes information overview and "drill-down" in support of analysis. Before describing our visual interface and application, we introduce information retrieval within the context of data mining and provide a brief over-view of procedural shape generation. We then describe our current system and give a few relevant examples. Finally, we offer some ideas for future enhancements and direction.