DBScholar

Back to papers

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)

Paper ID
3041
Venue
SIGMOD
Year
1997
Pagerank
5.093636e-05
Overall Rank
12,960 | 11.09%
DOI
10.1145/253260.253379

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

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
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
Previous Page 1 / 1 Next

Semantically Similar Papers