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SHIFT-SPLIT: I/O Efficient Maintenance of Wavelet-Transformed Multidimensional Data

Summary: SHIFT-SPLIT are two wavelet-domain operations for multidimensional data, enabling I/O-efficient maintenance in the transform space. Proofs for six data-maintenance scenarios (transform, append, streaming, reconstruction) show I/O savings with optimal coefficient-to-disk-block allocation; validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3704
Venue
SIGMOD
Year
2005
Pagerank
5.2634238e-05
Overall Rank
9,489 | 34.90%
DOI
10.1145/1066157.1066189

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jahangiri_sigmod05,
        title = {{SHIFT-SPLIT: I/O Efficient Maintenance of Wavelet-Transformed Multidimensional Data}},
        author = {Jahangiri, Mehrdad and Sacharidis, Dimitris and Shahabi, Cyrus},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066189},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066189},
        year = {2005}
}

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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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