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Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?

Summary: Extends KFKD-based join avoidance from linear models to high-capacity classifiers (DTs, non-linear SVMs, ANNs) via experiments. Finds robustness to avoiding KFK joins, refuting prior intuition, and raises DM-ML theory questions; code and data released. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11749
Venue
VLDB
Year
2018
Pagerank
6.428887e-05
Overall Rank
4,129 | 71.28%
DOI
10.14778/3157794.3157804

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