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• W2950274370 abstract "We address the problem of finding a best deterministic query answer to a query over a probabilistic database. For this purpose, we propose the notion of a consensus world (or a consensus answer) which is a deterministic world (answer) that minimizes the expected distance to the possible worlds (answers). This problem can be seen as a generalization of the well-studied inconsistent information aggregation problems (e.g. rank aggregation) to probabilistic databases. We consider this problem for various types of queries including SPJ queries, Topk queries, group-by aggregate queries, and clustering. For different distance metrics, we obtain polynomial time optimal or approximation algorithms for computing the consensus answers (or prove NP-hardness). Most of our results are for a general probabilistic database model, called {em and/xor tree model}, which significantly generalizes previous probabilistic database models like x-tuples and block-independent disjoint models, and is of independent interest." @default.
• W2950274370 created "2019-06-27" @default.
• W2950274370 creator A5062173777 @default.
• W2950274370 creator A5078910994 @default.
• W2950274370 date "2008-12-10" @default.
• W2950274370 modified "2023-09-23" @default.
• W2950274370 title "Consensus Answers for Queries over Probabilistic Databases" @default.
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• W2950274370 hasPublicationYear "2008" @default.
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