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
- 2. R. Ramakrishnan
- 3. K. Beyer
- 4. G. Chen
- 5. D. Donjerkovic
- 6. S. Lawande
- 7. J. Myllymaki
- 8. K. Wenger
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 33 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00077324389 |
| 1,351 | Data Access for the Masses through OLE DB | 1996 | SIGMOD | 0.00012419309 |
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