Exceeding Expectations and Clustering Uncertain Data
Summary: True approximation algorithms for k‑center clustering on probabilistic/uncertain data that preserve the number of centers, closing gaps in prior work. Introduce an "exceeding expectations" objective (contribution above expectation) and general optimization techniques under uncertainty. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sudipto Guha
- 2. Kamesh Munagala
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,319 | Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) | 2009 | SIGMOD | 5.1725247e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,758 | Approximation Algorithms for Clustering Uncertain Data | 2008 | PODS | 8.2228285e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,125 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 5.5419908e-05 |
| 5,673 | Uncertainty Aware Query Execution Time Prediction | 2014 | VLDB | 6.1919293e-05 |
| 663 | Creating Probabilistic Databases from Information Extraction Models | 2006 | VLDB | 0.00015341439 |
| 357 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.00020355418 |
| 6,854 | Uncertain Centroid based Partitional Clustering of Uncertain Data | 2012 | VLDB | 5.8190903e-05 |
| 8,714 | Stochastic Package Queries in Probabilistic Databases | 2020 | SIGMOD | 5.4424942e-05 |
| 12,319 | Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) | 2009 | SIGMOD | 5.1725247e-05 |
| 6,266 | Clustering Uncertain Graphs | 2018 | VLDB | 5.9974199e-05 |
| 12,280 | Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations | 2010 | VLDB | 5.1725247e-05 |
| 2,758 | Approximation Algorithms for Clustering Uncertain Data | 2008 | PODS | 8.2228285e-05 |