Exceeding Expectations and Clustering Uncertain Data
Summary: True approximation algorithms for kācenter 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)
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Authors
- 1. Sudipto Guha
- 2. Kamesh Munagala
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,311 | Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) | 2009 | SIGMOD | 4.1945683e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,860 | Approximation Algorithms for Clustering Uncertain Data | 2008 | PODS | 0.0001028857 |
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