DBScholar

Back to papers

Efficient Summarization Framework for Multi-Attribute Uncertain Data

Summary: Efficiently summarizing multi-attribute uncertain data by selecting a small representative subset. Models objects as information units, reduces to probabilistic coverage; NP-hard, solved with a scalable greedy algorithm exploiting object- and iteration-level optimization; strong empirical gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4847
Venue
SIGMOD
Year
2014
Pagerank
5.4079618e-05
Overall Rank
8,584 | 41.11%
DOI
10.1145/2588555.2588580

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xu_sigmod14,
        title = {{Efficient Summarization Framework for Multi-Attribute Uncertain Data}},
        author = {Xu, Jie and Kalashnikov, Dmitri V. and Mehrotra, Sharad},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588580},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588580},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
4,084 Comprehensive and Efficient Workload Compression 2021 VLDB 6.9151691e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,532 Summarizing Relational Databases 2009 VLDB 0.00010472227
1,725 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 9.9197083e-05
3,483 Consensus Answers for Queries over Probabilistic Databases 2009 PODS 7.372823e-05
Previous Page 1 / 1 Next

Semantically Similar Papers