NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems
Summary: Nile-PDT adds aPhenomenon Detection and Tracking layer to Nile: server-side sensing and incremental propagation, with client-side filtering. Phenomena defined by alpha and w filter noise, scale with sensors and rates, guiding Nile queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. M.H. Ali
- 2. W.G. Aref
- 3. R. Bose
- 4. A.K. Elmagarmid
- 5. A. Helal
- 6. I. Kamel
- 7. M.F. Mokbel
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,871 | State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries | 2006 | VLDB | 4.8966771e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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| 12,602 | QStream: Deterministic Querying of Data Streams | 2004 | VLDB | 4.1905499e-05 |
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| 6,472 | An Integration Framework for Sensor Networks and Data Stream Management Systems | 2004 | VLDB | 5.0438408e-05 |