Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary)

Summary: Tutorial on learning and exploiting uncertain data at scale; probabilistic DBs, summaries, and decision-making under imprecision. Emphasizes DB constraints and optimization (convex, info-theory) under uncertainty, with scalable use-cases from sensors to cloud BI. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4253
Venue: SIGMOD
Year: 2009
Pagerank: 5.093636e-05
Overall Rank: 12,505 | 14.21%
DOI: 10.1145/1559845.1559964

Incoming Non-self Citations Over Time

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

Authors

1. Shivnath Babu (Duke University)
2. Sudipto Guha (University of Pennsylvania)
3. Kamesh Munagala (Duke University)

BibTeX Citation

@inproceedings{babu_sigmod09,
        title = {{Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary)}},
        author = {Babu, Shivnath and Guha, Sudipto and Munagala, Kamesh},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559964},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559964},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
53	Eddies: Continuously Adaptive Query Processing	2000	SIGMOD	0.00041071971
337	Model-Driven Data Acquisition in Sensor Networks	2004	VLDB	0.00020783399
566	Towards a Robust Query Optimizer: A Principled and Practical Approach	2005	SIGMOD	0.00016436005
680	Creating Probabilistic Databases from Information Extraction Models	2006	VLDB	0.0001504854
813	Adaptive Ordering of Pipelined Stream Filters	2004	SIGMOD	0.00013846487
2,253	Approximation Algorithms for Clustering Uncertain Data	2008	PODS	8.8664016e-05
2,578	Query Optimization over Web Services	2006	VLDB	8.3919147e-05
3,493	Processing Forecasting Queries	2007	VLDB	7.3650273e-05
3,847	Operator Placement for In-Network Stream Query Processing	2005	PODS	7.0758352e-05
6,503	Active and Accelerated Learning of Cost Models for Optimizing Scientific Applications	2006	VLDB	5.8598189e-05
6,812	Exceeding Expectations and Clustering Uncertain Data	2009	PODS	5.7657129e-05
12,673	Suppression and Failures in Sensor Networks: A Bayesian Approach	2007	VLDB	5.093636e-05
12,681	Asking the Right Questions: Model-driven Optimization using Probes	2006	PODS	5.093636e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	8,260	Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds	2021	SIGMOD
2	6,712	Capturing Data Uncertainty in High-Volume Stream Processing	2009	CIDR
3	359	Evaluating Probabilistic Queries over Imprecise Data	2003	SIGMOD
4	8,983	Stochastic Package Queries in Probabilistic Databases	2020	SIGMOD
5	574	Management of Probabilistic Data: Foundations and Challenges	2007	PODS
6	2,367	Using Probabilistic Models for Data Management in Acquisitional Environments	2005	CIDR
7	8,355	Similarity Search and Mining in Uncertain Databases	2010	VLDB
8	6,812	Exceeding Expectations and Clustering Uncertain Data	2009	PODS
9	12,571	Query Answering Techniques on Uncertain and Probabilistic Data	2008	SIGMOD
10	6,037	On Uncertain Graphs Modeling and Queries	2015	VLDB