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cs.DB2026
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…
cs.DB2025
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…
cs.DB2024
Finding Convincing Views to Endorse a Claim
Shunit Agmon, Amir Gilad, Brit Youngmann +2
Recent studies investigated the challenge of assessing the strength of a given claim extracted from a dataset, particularly the claim's potential of being misleading and cherry-pic…