FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data
Summary: FlashP enables real-time forecasting for high-dimensional time-series relational data by front-loading approximate aggregations and training forecasts on them. It introduces GSW sampling with provable error bounds and compact multi-measure sketches, analyzing their impact on forecast accuracy. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shuyuan Yan
- 2. Bolin Ding
- 3. Wei Guo
- 4. Jingren Zhou
- 5. Zhewei Wei
- 6. Xiaowei Jiang
- 7. Sheng Xu
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