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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
5334
Venue
SIGMOD
Year
2016
Pagerank
9.0026006e-05
Overall Rank
2,185 | 85.02%
DOI
10.1145/2882903.2915245

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chirigati_sigmod16,
        title = {{Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets}},
        author = {Chirigati, Fernando and Doraiswamy, Harish and Damoulas, Theodoros and Freire, Juliana},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915245},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915245},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
739 Finding Related Tables 2012 SIGMOD 0.0001448231
1,273 Fusing Data with Correlations 2014 SIGMOD 0.00011384191
4,087 Less is More: Selecting Sources Wisely for Integration 2013 VLDB 6.9141684e-05
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