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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
h02074f15f220e7f0
Venue
VLDB
Year
2003
Pagerank
5.6422684e-05
Overall Rank
6,927 | 53.43%
DOI
10.1016/B978-012722442-8/50118-X

Incoming Non-self Citations Over Time

Authors

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
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
2,739 General Incremental Sliding-Window Aggregation 2015 VLDB 8.0721161e-05
5,318 Sampling Algorithms in a Stream Operator 2005 SIGMOD 6.1828476e-05
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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 0.00076195956
26 Models and Issues in Data Stream Systems 2002 PODS 0.00052121228
9,698 Using SQL to Build New Aggregates and Extenders for Object-Relational Systems 2000 VLDB 5.1387734e-05
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