Approximate Join Processing Over Data Streams
Summary: Approximate sliding-window joins in data streams by dropping tuples. Proposes offline-optimal and fast online algorithms to minimize output tuples; surveys architecture and quality metrics; introduces Archive-metric for completing joins after archiving. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abhinandan Das
- 2. Johannes Gehrke
- 3. Mirek Riedewald
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| 3,656 | Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams | 2003 | VLDB | 6.8714509e-05 |
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