A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services
Summary: Introduces SQL-TS, an SQL extension for optimized sequential-pattern and complex time-series queries over live event streams plus historical data, enabling low-latency (“instant”) mining for auctions and other e-services. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Reza Sadri (Procom Technology)
- 2. Carlo Zaniolo (University of California)
- 3. Amir Zarkesh (ZAIAS Technologies Corporation)
- 4. Jafar Adibi (ZAIAS Technologies Corporation)
BibTeX Citation
@article{sadri_vldb01,
title = {{A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services}},
author = {Sadri, Reza and Zaniolo, Carlo and Zarkesh, Amir and Adibi, Jafar},
journal = {PVLDB},
series = {{VLDB} '01},
year = {2001}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,925 | Query Languages and Data Models for Database Sequences and Data Streams | 2004 | VLDB | 6.442888e-05 |
| 7,409 | From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences | 2010 | VLDB | 5.6243e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,524 | Optimization of Sequence Queries in Database Systems | 2001 | PODS | 8.4681197e-05 |
| 9,516 | Using SQL to Build New Aggregates and Extenders for Object-Relational Systems | 2000 | VLDB | 5.2567112e-05 |
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