Database Issues for Data Visualization: IEEE Visualization by John P. Lee, Georges G. Grinstein

By John P. Lee, Georges G. Grinstein

This quantity provides the lawsuits of the overseas Workshop on Database concerns for facts Visualization, held along side the IEEE Visualization '93 convention in San Jose, California in October 1993.
The publication includes thirteen technical contributions geared up in sections on datamodels; method integration concerns; and interplay, person interfaces, and presentation concerns. furthermore there are 3 introductory part surveys and an total workshop description summarizing the full occasion. In overall, the reader is gifted with a completely refereed and thoroughly edited cutting-edge document at the scorching interdisciplinary subject of database matters and knowledge visualization.

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Extra info for Database Issues for Data Visualization: IEEE Visualization '93 Workshop San Jose, California, USA, October 26, 1993 Proceedings

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Ston93] Stonebraker,M. , "The Sequoia 2000 Architecture and Implementation Strategy", Sequoia 2000 Technical Report 93/23, University of California, Berkeley. , "Supporting high-Bandwidth Navigation in Object-Bases", Proceedings of the lOth International IEEE Con/erence on Data Engineering (to appear), Houston, Texas, IEEE Press1994. [WiLa93] A. Wierse, U. Lung, R. Ruhle, "Architectures of Distributed Visualization Systems and their Enhancements", Workshop Papers of the Fourth Eurographics Workshop on Visualization in Scientific Computing, Abingdon, April 1993.

Cons90] Consens, M. , "Visualizing Queries and Querying Visualizations", A CM SIGMOD Record, March 1992, pp. 39-46. [Cruz87] Cruz, K. , Mendelson, A. , and Wood, P. , "A Graphical Query Language Supporting Recursion", Proceedings of ACM SIGMOD'87, pp. 323330, 1987. , G. Wuu, "A Uniform Approach to Processing Temporal Queries", Proceedings 18th International Conference of Very Large Databases, Vancouver, BC, August 1992, pp. 407-418. , Hawthorne, New York, Publication No. SC38-0496, October 1993.

For query optimization), but it is difficult to apply similar analyses to purely functional specifications of data. 2 Structural Data Models The physical and implementation levels address issues that should not be visible to scientists using a system, and purely behavioral data models are rare. Thus we focus on the structural level. At this level a data model needs to address the following issues: 39 1. The types of primitive data values occurring in data objects. A primitive type defines a set of primitive values.

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