TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges
Summary: TUCKET's stream-segment-tree stores precomputed Tucker factors and stitches O(log L) nodes (pruned via subtensor approximation) to answer range-Tucker queries. Supports streaming updates in amortized O(1) (O(log T) worst), eliminating Zoom‑Tucker's block-size tradeoff and improving latency and reconstruction error. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Ruizhong Qiu
- 2. Jun-Gi Jang
- 3. Xiao Lin
- 4. Lihui Liu
- 5. Hanghang Tong
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 3,673 | LittleTable: A Time-Series Database and Its Uses | 2017 | SIGMOD | 6.85585e-05 |
| 3,967 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 6.5796647e-05 |
| 4,362 | triCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data | 2005 | SIGMOD | 6.2556473e-05 |
| 7,951 | LFTF: A Framework for Efficient Tensor Analytics at Scale | 2017 | VLDB | 4.613363e-05 |
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