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Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data

Summary: Nexus aligns heterogeneous spatio-temporal tabular datasets in a large repository to support exploratory correlation discovery as a precursor to causal analysis. Key novelty: robust cross-dataset space/time alignment with missing-data handling plus ranking of “interesting” correlations, validated on Chicago open data and UN datasets. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6919
Venue
SIGMOD
Year
2024
Pagerank
4.4795277e-05
Overall Rank
8,616 | 40.12%
DOI
10.1145/3654957

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