Tuple Bubbles: Learned Tuple Representations for Tunable Approximate Query Processing
Author:
Affiliation:
1. DBIS Lab, RPTU Kaiserslautern-Landau, Kaiserslautern, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3593078.3593931
Reference33 articles.
1. Sameer Agarwal Barzan Mozafari Aurojit Panda Henry Milner Samuel Madden and Ion Stoica. 2013. BlinkDB: queries with bounded errors and bounded response times on very large data. In EuroSys. ACM 29--42. Sameer Agarwal Barzan Mozafari Aurojit Panda Henry Milner Samuel Madden and Ion Stoica. 2013. BlinkDB: queries with bounded errors and bounded response times on very large data. In EuroSys. ACM 29--42.
2. On synopses for distinct-value estimation under multiset operations
3. Surajit Chaudhuri , Gautam Das , and Vivek R. Narasayya . 2001. A Robust , Optimization-Based Approach for Approximate Answering of Aggregate Queries. In SIGMOD Conference. ACM, 295--306 . Surajit Chaudhuri, Gautam Das, and Vivek R. Narasayya. 2001. A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries. In SIGMOD Conference. ACM, 295--306.
4. Approximate Query Processing
5. Approximating discrete probability distributions with dependence trees
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