89 citations · 226 across the 13 of their papers we have counts for
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cs.DB2019
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen, Qun Chen, Boyi Hou +3
Machine-learning-based entity resolution has been widely studied. However, some entity pairs may be mislabeled by machine learning models and existing studies do not study the risk…
cs.DB2019★ 9 cited
An End-to-End Learning-based Cost Estimator
Ji Sun, Guoliang Li
Cost and cardinality estimation is vital to query optimizer, which can guide the plan selection. However traditional empirical cost and cardinality estimation techniques cannot pro…