Orion 2.0: Native Support for Uncertain Data
Summary: Orion 2.0 provides native, first-class uncertain data types (attribute and tuple) with arbitrary correlations, supporting discrete and continuous PDFs. Relational-operator closure and alignment with Possible Worlds Semantics enable robust sensor data handling and missing-value inference. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sarvjeet Singh (Purdue University)
- 2. Chris Mayfield (Purdue University)
- 3. Sagar Mittal (Purdue University)
- 4. Sunil Prabhakar (Purdue University)
- 5. Susanne Hambrusch (Purdue University)
- 6. Rahul Shah (Louisiana State University; Purdue University)
BibTeX Citation
@inproceedings{singh_sigmod08,
title = {{Orion 2.0: Native Support for Uncertain Data}},
author = {Singh, Sarvjeet and Mayfield, Chris and Mittal, Sagar and Prabhakar, Sunil and Hambrusch, Susanne and Shah, Rahul},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376744},
url = {https://dl.acm.org/doi/10.1145/1376616.1376744},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 1,638 | U-DBMS: A Database System for Managing Constantly-Evolving Data | 2005 | VLDB | 0.00010155338 |
| 2,062 | Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data | 2004 | VLDB | 9.24085e-05 |
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