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How to Evaluate Multiple Range-Sum Queries Progressively

Summary: Wavelet-based technique for progressive evaluation of batched range-sum queries that exploits I/O sharing to deliver early estimates. Introduces structural-error penalty functions to control error profiles; exact, I/O-efficient, accurate even with <1 I/O/query. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1257
Venue
PODS
Year
2002
Pagerank
5.093636e-05
Overall Rank
12,836 | 11.94%
DOI
10.1145/543613.543630

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{schmidt_pods02,
        address = {New York, NY, USA},
        series = {{PODS} '02},
        title = {{How to Evaluate Multiple Range-Sum Queries Progressively}},
        url = {https://dl.acm.org/doi/10.1145/543613.543630},
        doi = {10.1145/543613.543630},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Schmidt, Rolfe R. and Shahabi, Cyrus},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
12,803 AIMS: An Immersidata Management System 2003 CIDR 5.093636e-05
13,855 ProDA: A Suite of Web-Services for Progressive Data Analysis 2005 SIGMOD -
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Outgoing Citations (Sorted by Pagerank)

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

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