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)
Incoming Non-self Citations Over Time
Authors
- 1. Jie Xu (University of California Irvine)
- 2. Dmitri V. Kalashnikov (University of California Irvine)
- 3. Sharad Mehrotra (University of California Irvine)
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 |
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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 |
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