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Multivariate Correlations Discovery in Static and Streaming Data

Summary: Proposes scalable algorithms to discover strong multivariate correlations among 3–5 vectors in static and streaming data. Leverages novel theory, supports two correlation measures with constraints, and achieves order-of-magnitude efficiency gains over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12635
Venue
VLDB
Year
2022
Pagerank
4.456315e-05
Overall Rank
8,755 | 39.10%
DOI
10.14778/3514061.3514072

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Rank Citing Paper Year Venue Pagerank
10,323 Scalable Grid-based Computation of Kendall’s tau Correlation 2026 VLDB 4.1945683e-05
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