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Extended Wavelets for Multiple Measures

Summary: Extends wavelet compression to multi-measure data via extended wavelet coefficients as a flexible storage unit. It proposes selection algorithms under a storage budget to keep coefficients, boosting query accuracy vs. prior methods on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3497
Venue
SIGMOD
Year
2003
Pagerank
6.1337629e-05
Overall Rank
5,650 | 61.24%
DOI
10.1145/872757.872786

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{deligiannakis_sigmod03,
        title = {{Extended Wavelets for Multiple Measures}},
        author = {Deligiannakis, Antonios and Roussopoulos, Nick},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872786},
        url = {https://dl.acm.org/doi/10.1145/872757.872786},
        year = {2003}
}

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