A Native Extension of SQL for Mining Data Streams
Summary: A native SQL extension, ESL, enables stream mining within SQL-based continuous queries with Turing-complete expressive power. It weaves DSMS primitives (windows, buffers, load shedding, indexing) into SQL, avoiding cache mining and adding aggregates, UDFs, approximate queries, concept-drift classifiers, and GUI visualization. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chang Luo
- 2. Hetal Thakkar
- 3. Haixun Wang
- 4. Carlo Zaniolo
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 41 | NiagaraCQ: A Scalable Continuous Query System for Internet Databases | 2000 | SIGMOD | 0.00073964959 |
| 43 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00072723062 |
| 205 | Monitoring Streams – A New Class of Data Management Applications | 2002 | VLDB | 0.00034731577 |
| 244 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00031066222 |
| 904 | Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications | 1998 | SIGMOD | 0.00015469655 |
| 5,284 | Query Languages and Data Models for Database Sequences and Data Streams | 2004 | VLDB | 5.584855e-05 |
| 9,288 | Using SQL to Build New Aggregates and Extenders for Object-Relational Systems | 2000 | VLDB | 4.3622826e-05 |
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