OLAP Over Uncertain and Imprecise Data
Summary: Extends OLAP to model data ambiguity—imprecision and uncertainty. Proposes an allocation-based semantics for aggregations, analyzing three natural query properties to compare alternatives; first to jointly handle imprecision and uncertainty in OLAP. (summarized by gpt-5-nano on Feb 09 2026)
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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 |
|---|---|---|---|---|
| 49 | Consistent Query Answers in Inconsistent Databases | 1999 | PODS | 0.00067607389 |
| 453 | The Theory Of Probabilistic Databases | 1987 | VLDB | 0.00022801484 |
| 463 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.00022497894 |
| 823 | On the Representation and Querying of Sets of Possible Worlds | 1987 | SIGMOD | 0.00016225326 |
| 2,301 | OLAP and Statistical Databases: Similarities and Differences | 1997 | PODS | 9.0699585e-05 |
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| 5,685 | Efficient Allocation Algorithms for OLAP over Imprecise Data | 2006 | VLDB | 5.37204e-05 |