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Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang.

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Presentation on theme: "Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang."— Presentation transcript:

1 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Extreme Visualization: Squeezing a Billion Records into a Million Pixels Presenter : Jiang-Shan Wang Authors : Ben Shneiderman SIGMOD 2009 國立雲林科技大學 National Yunlin University of Science and Technology 1

2 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Outline Motivation Objective Atomic visualization Aggregate visualization Density plot visualization Conclusion Comments 2

3 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Motivation The appeal of information visualization is to gain a deeper understanding of a important phenomena that are represented in a database. 3 Collins, Christopher. DocuBurst: Document Content Visualization Using Language Structure. Proceedings of IEEE Symposium on Information Visualization, Poster Session. Baltimore (2006).

4 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Objective 4 This paper describes current and proposed solutions (atomic, aggregated, and density plots) that facilitate sense- making for interactive visual exploration of billion record data sets.

5 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Atomic visualization One marker per data record. 5

6 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Aggregate visualization One marker per thousand data records. 6

7 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Aggregate visualization Multivariate Database Time series Tree structures Networks 7

8 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Aggregate visualization 8

9 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Density plot visualization Color coded areas show users where to explore. 9

10 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Density plot visualization 10

11 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Conclusion 11 The benefits of visual exploration are increasingly well understood, raising expectations of users who want to explore ever larger databases. If strong collaborations can be arranged between information visualization and database management researchers and implementers, then the use of billion record visualizations could become widespread.

12 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Comments 12 Advantage  Understanding lots of visualization. Drawback Application  Data visualization.


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