Hierarchically compressed wavelet synopses

Sacharidis, Dimitris; Deligiannakis, Antonios; Sellis, Timoleon

Hierarchically compressed wavelet synopses

https://hdl.handle.net/10779/rmit.27449844

journal contribution

posted on 2024-11-01, 11:50 authored by Dimitris Sacharidis, Antonios Deligiannakis, Timoleon Sellis

The wavelet decomposition is a proven tool for constructing concise synopses of large data sets that can be used to obtain fast approximate answers. Existing research studies focus on selecting an optimal set of wavelet coefficients to store so as to minimize some error metric, without however seeking to reduce the size of the wavelet coefficients themselves

History

Related Materials

1.
DOI - Is published in 10.1007/s00778-008-0096-z
2.
ISSN - Is published in 10668888

Journal

The VLDB Journal

Volume

18

Issue

1

Start page

203

End page

231

Total pages

29

Publisher

Association for Computing Machinery, Inc.

Place published

United States

Language

English

Copyright

Former Identifier

2006035676

Esploro creation date

2020-06-22

Fedora creation date

2013-02-19

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Keywords

Compression Data streams Wavelet synopsis

Hierarchically compressed wavelet synopses

History

Related Materials

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Volume

Issue

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End page

Total pages

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Place published

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Copyright

Former Identifier

Esploro creation date

Fedora creation date

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Keywords

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