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Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets

Summary: Data Polygamy proposes a topology-based framework to find statistically significant, local spatio-temporal relationships among urban data sets. It handles scale variety, indexing/querying, and filtering spurious links, validated on 300+ datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5272
Venue
SIGMOD
Year
2016
Pagerank
9.536298e-05
Overall Rank
2,104 | 85.37%
DOI
10.1145/2882903.2915245

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Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
214 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0003363692
818 Finding Related Tables 2012 SIGMOD 0.00016311524
908 Fusing Data with Correlations 2014 SIGMOD 0.00015431241
942 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015155714
4,101 Less is More: Selecting Sources Wisely for Integration 2013 VLDB 6.4523909e-05
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