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Incorporating Deep Learning Design in Database Queries
Yuval Lev Lubarsky, Dean Light, Boaz Berger +2
Deep learning over relational databases is conventionally realized by translating data into graph representations and applying graph-based neural networks within external framework…
Analyzing Deviations from Monotonic Trends through Database Repair
Shunit Agmon, Jonathan Gal, Amir Gilad +4
Datasets often exhibit violations of expected monotonic trends - for example, higher education level correlating with higher average salary, newer homes being more expensive, or di…
Computing Inconsistency Measures Under Differential Privacy
Shubhankar Mohapatra, Amir Gilad, Xi He +1
Assessing data quality is crucial to knowing whether and how to use the data for different purposes. Specifically, given a collection of integrity constraints, various ways have be…
The Cost of Representation by Subset Repairs
Yuxi Liu, Fangzhu Shen, Kushagra Ghosh +3
Datasets may include errors, and specifically violations of integrity constraints, for various reasons. Standard techniques for ``minimal-cost'' database repairing resolve these vi…