ATLAS: a Small but Complete SQL Extension for Data Mining and Data Streams

Summary: ATLAS makes SQL a complete application language by letting users define aggregates and table functions directly in SQL, yielding Turing-complete support for data mining and streaming queries. Combines query rewriting, optimization, and stream management. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9261
Venue: VLDB
Year: 2003
Pagerank: 5.764503e-05
Overall Rank: 6,817 | 53.23%
DOI: 10.1016/B978-012722442-8/50118-X

Incoming Non-self Citations Over Time

Authors

1. Haixun Wang (IBM)
2. Carlo Zaniolo (University of California Los Angeles)
3. Chang Richard Luo (University of California Los Angeles)

BibTeX Citation

@article{wang_vldb03,
        title = {{ATLAS: a Small but Complete SQL Extension for Data Mining and Data Streams}},
        author = {Wang, Haixun and Zaniolo, Carlo and Luo, Chang Richard},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50118-X},
        url = {https://doi.org/10.1016/B978-012722442-8/50118-X},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,250	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011485301
2,802	General Incremental Sliding-Window Aggregation	2015	VLDB	8.1093063e-05
5,193	Sampling Algorithms in a Stream Operator	2005	SIGMOD	6.3238562e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
9	Online Aggregation	1997	SIGMOD	0.00077458002
26	Models and Issues in Data Stream Systems	2002	PODS	0.00052982574
9,516	Using SQL to Build New Aggregates and Extenders for Object-Relational Systems	2000	VLDB	5.2567112e-05

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