Loadstar: Load Shedding in Data Stream Mining
Summary: Loadstar applies adaptive load shedding to high-volume streams under resource constraints, using QoD to target high-uncertainty sources. It uses feature prediction to model shed data and adapts to changing stream traits for robust, resource-aware classification. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yun Chi
- 2. Haixun Wang
- 3. Philip S. Yu
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 723 | Load Shedding in a Data Stream Manager | 2003 | VLDB | 0.00017493042 |
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