Databases and Visualization

Summary: Survey of DB-visualization integration for large data; eight technique families; multi-attribute data, no natural 2D/3D semantics. Reviews current DB visualization systems and prototypes; outlines opportunities for deeper DB-visualization collaboration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2977
Venue: SIGMOD
Year: 1996
Pagerank: 6.3305358e-05
Overall Rank: 5,177 | 64.49%
DOI: 10.1145/233269.280349

Incoming Non-self Citations Over Time

Authors

1. Daniel A. Keim (University of Munich)

BibTeX Citation

@inproceedings{keim_sigmod96,
        title = {{Databases and Visualization}},
        author = {Keim, Daniel A.},
        series = {{SIGMOD} '96},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/233269.280349},
        url = {https://dl.acm.org/doi/10.1145/233269.280349},
        year = {1996}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
291	OPTICS: Ordering Points To Identify the Clustering Structure	1999	SIGMOD	0.00022264197

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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