STAR: A Distributed Stream Warehouse System for Spatial Data
Summary: STAR is a distributed in-memory spatial data stream warehouse enabling real-time analytics over rapid spatial streams. Novelty: distributed materialized views for spatial aggregates and dynamic load adjustment for scalable, adaptive processing on EC2 with real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhida Chen
- 2. Gao Cong
- 3. Walid G. Aref
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,697 | Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries | 2024 | SIGMOD | 4.4657888e-05 |
| 9,484 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 4.3341665e-05 |
| 10,983 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,059 | Stream Warehousing with DataDepot | 2009 | SIGMOD | 9.6582554e-05 |
| 2,189 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 9.335684e-05 |
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