DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT)
Summary: Integrated querying and visualization for large tabular datasets, including multimedia references, across sources. Enables interactive, multi-resolution exploration beyond memory, from metadata to individual records, demonstrated on real applications. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. M. Livny (University of Wisconsin)
- 2. R. Ramakrishnan (University of Wisconsin)
- 3. K. Beyer (University of Wisconsin)
- 4. G. Chen (University of Wisconsin)
- 5. D. Donjerkovic (University of Wisconsin)
- 6. S. Lawande (University of Wisconsin)
- 7. J. Myllymaki (University of Wisconsin)
- 8. K. Wenger (University of Wisconsin)
BibTeX Citation
@inproceedings{livny_sigmod97,
title = {{DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT)}},
author = {Livny, M. and Ramakrishnan, R. and Beyer, K. and Chen, G. and Donjerkovic, D. and Lawande, S. and Myllymaki, J. and Wenger, K.},
series = {{SIGMOD} '97},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/253260.253379},
url = {https://dl.acm.org/doi/10.1145/253260.253379},
year = {1997}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 1,753 | Data Access for the Masses through OLE DB | 1996 | SIGMOD | 9.8322034e-05 |
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