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Query-Oriented Answer Imputation for Aggregate Queries

Abstract : Data imputation is a well-known technique for repairing missing data values but can incur a prohibitive cost when applied to large data sets. Query-driven imputation offers a better alternative as it allows for fixing only the data that is relevant for a query. We adopt a rule-based query rewriting technique for imputing the answers of analytic queries that are missing or suffer from incorrectness due to data incompleteness. We present a novel query rewriting mechanism that is guided by partition patterns which are compact representations of complete and missing data partitions. Our solution strives to infer the largest possible set of missing answers while improving the precision of incorrect ones.
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https://hal.sorbonne-universite.fr/hal-02310571
Contributor : Bernd Amann <>
Submitted on : Thursday, October 10, 2019 - 11:50:14 AM
Last modification on : Saturday, October 12, 2019 - 1:33:44 AM

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Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi. Query-Oriented Answer Imputation for Aggregate Queries. Advances in Databases and Information Systems - 23rd European Conference, ADBIS 2019, Sep 2019, Bled, Slovenia. pp.302-318, ⟨10.1007/978-3-030-28730-6_19⟩. ⟨hal-02310571⟩

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