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Data Stream Query Processing: A Tutorial

Summary: A comprehensive tutorial on query processing over unbounded data streams, spanning SQL-like and XML/XPath languages. It unifies architectures, stream-specific operators, approximation, optimization and scheduling with automata- and navigation-based techniques. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9273
Venue
VLDB
Year
2003
Pagerank
6.256154e-05
Overall Rank
5,349 | 63.31%
DOI
10.1016/B978-012722442-8/50128-2

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{koudas_vldb03,
        title = {{Data Stream Query Processing: A Tutorial}},
        author = {Koudas, Nick and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50128-2},
        url = {https://doi.org/10.1016/B978-012722442-8/50128-2},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,013 Space Efficient Mining of Multigraph Streams 2005 PODS 9.3068345e-05
3,044 Holistic UDAFs at Streaming Speeds 2004 SIGMOD 7.820774e-05
3,332 A Heartbeat Mechanism and its Application in Gigascope 2005 VLDB 7.5129799e-05
4,623 Multiple Aggregations Over Data Streams 2005 SIGMOD 6.6012764e-05
12,478 Optimal Top-K Query Evaluation for Weighted Business Processes 2010 VLDB 5.093636e-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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