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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
- 5273
- Venue
- SIGMOD
- Year
- 2016
- Pagerank
- 9.5276068e-05
- Overall Rank
- 2,111 | 85.34%
- DOI
-
10.1145/2882903.2915245
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,354 |
Northstar: An Interactive Data Science System |
2018 |
VLDB |
0.00012424105 |
| 1,992 |
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning |
2020 |
SIGMOD |
9.8415851e-05 |
| 2,135 |
Towards Sustainable Insights or why polygamy is bad for you |
2017 |
CIDR |
9.4681152e-05 |
| 4,540 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.0978937e-05 |
| 5,526 |
GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons |
2018 |
VLDB |
5.4585713e-05 |
| 6,169 |
A Demonstration of Interactive Analysis of Performance Measurements with Viska |
2017 |
SIGMOD |
5.1708657e-05 |
| 6,948 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8865863e-05 |
| 7,310 |
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets |
2017 |
SIGMOD |
4.7607538e-05 |
| 8,335 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.538972e-05 |
| 8,616 |
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data |
2024 |
SIGMOD |
4.4795277e-05 |
| 9,774 |
EquiTensors: Learning Fair Integrations of Heterogeneous Urban Data |
2021 |
SIGMOD |
4.2815042e-05 |
| 11,696 |
Enabling Data Science for the Majority |
2019 |
VLDB |
4.1905499e-05 |
| 11,735 |
Sherlock: A System for Interactive Summarization of Large Text Collections |
2018 |
VLDB |
4.1905499e-05 |
| 11,794 |
Safe Visual Data Exploration |
2017 |
SIGMOD |
4.1905499e-05 |
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.
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