Semantics of Ranking Queries for Probabilistic Data

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
Recently, there have been several attempts to propose definitions and algorithms for ranking queries on probabilistic data. However, these lack many intuitive properties of a top-k over deterministic data. The authors define numerous fundamental properties, including exact-k, containment, unique-rank, value-invariance, and stability, which are satisfied by ranking queries on certain data. They argue these properties should also be carefully studied in defining ranking queries in probabilistic data, and fulfilled by definition for ranking uncertain data for most applications.
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