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Database Technologies for Electronic Commerce

Summary: Demonstrates a Pangea e-commerce DB stack: Google-style nameless querying, scalable storage/querying for thousands of sparse attributes, and cross-source catalog/schema integration. Validated on 2M components, 200K datasheets, and 2,000+ categories. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9117
Venue
VLDB
Year
2002
Pagerank
5.093636e-05
Overall Rank
12,853 | 11.82%
DOI
10.1016/B978-155860869-6/50107-4

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Authors

BibTeX Citation

@article{agrawal_vldb02,
        title = {{Database Technologies for Electronic Commerce}},
        author = {Agrawal, Rakesh and Srikant, Ramakrishnan and Xu, Yirong},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50107-4},
        url = {https://doi.org/10.1016/B978-155860869-6/50107-4},
        year = {2002}
}

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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
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
1,038 Storage and Querying of E-Commerce Data 2001 VLDB 0.00012476189
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