Understanding Warper Efficiently Adapting Learned Cardinality Estimators To Data And Workload Drifts
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Detailed Analysis of Warper Efficiently Adapting Learned Cardinality Estimators To Data And Workload Drifts
Presented at the 23rd International Conference on Extending Database Technology (EDBT 2020) - Online Conference. PDF: https://dl.acm.org/doi/10.1145/3514221.3526154 Lab webpage: http://dblab.postech.ac.kr Personal webpage: ... Lecture from the Approximation Algorithms course at University of Copenhagen. Based on the textbook by Cormode and Yi, ...
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