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- W2157595172 abstract "Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, progress estimation, and resource provisioning. We study cardinality estimation in a principled framework: given a set of statistical assertions about the number of tuples returned by a fixed set of queries, predict the number of tuples returned by a new query. We model this problem using the probability space, over possible worlds, that satisfies all provided statistical assertions and maximizes entropy. We call this the Entropy Maximization model for statistics (MaxEnt). In this paper we develop the mathematical techniques needed to use the MaxEnt model for predicting the cardinality of conjunctive queries." @default.
- W2157595172 created "2016-06-24" @default.
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- W2157595172 date "2010-06-06" @default.
- W2157595172 modified "2023-09-26" @default.
- W2157595172 title "Understanding cardinality estimation using entropy maximization" @default.
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- W2157595172 doi "https://doi.org/10.1145/1807085.1807095" @default.
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