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Learned Approximate Query Processing: Make it Light, Accurate and Fast (CIDR 2021)
Bounded Approximate Query Processing
Yongjoo Park, University of Michigan, VerdictDB: Universalizing Approximate Query Processing
Jinglin Peng, Simon Fraser Univ., AQP++: Connecting Approximate Query Processing With Agg. Precomp.
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
Approximate Query Processing in Cube Streams
Efficient Query Processing Using Machine Learning
Learned Optimizer for Online Approximate Query Processing in Data Exploration
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Last Updated: October 1, 2026
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Summary
Authors: Moritz Kulessa (TU Darmstadt); Benjamin Hilprecht (TU Darmstadt); Alejandro Molina (TU Darmstadt); Carsten Binnig ... This cast is from our first webinar. In this section This video gives a quick demonstration of the Jags demos SnappyData's AQP features which create massive performance benefits for analytics Authors: Qingzhi Ma (University of Warwick); Ali Mohammadi Shanghooshabad (University of Warwick); Mehrdad Almasi ... Yongjoo Park, University of Michigan, VerdictDB: Universalizing Jinglin Peng, Simon Fraser University, AQP++: Connecting Given the rise of deep neural networks (DNNs), unstructured data is becoming increasingly feasible to
Towards Model Based Approximate Query Processing.pdf
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