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Carnegie Mellon Robotics Institute

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Abstract

One very effective method for managing large data sets is aggregation or binning. We consider two aggregation methods that are tightly coupled with interactive manipulation and the visual representation of the data. Through this integration we hope to provide effective support for the aggregation process, specifically by enabling: 1) automatic aggregation, 2) continuous change and control of the aggregation level, 3) spatially based aggregates, 4) context maintenance across different aggregate levels, and 5) feedback on the level of aggregation.

Notes

Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Visualization and Intelligent Interfaces Group

Text Reference

Mei Chuah, "Dynamic aggregation with circular visual designs," Proceedings of the IEEE Symposium on Information Visualization, October, 1998, pp. 35 - 43.

BibTeX Reference

@inproceedings{Chuah_1998_3711,
   author = "Mei Chuah",
   title = "Dynamic aggregation with circular visual designs",
   booktitle = "Proceedings of the IEEE Symposium on Information Visualization",
   pages = "35 - 43",
   month = "October",
   year = "1998",
}

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