On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Dario Malchiodi, Marco Frasca, Marco Frasca
2022
Abstract
Bloom Filters are a fundamental and pervasive data structure. Within the growing area of Learned Data Structures, several Learned versions of Bloom Filters have been considered, yielding advantages over classic Filters. Each of them uses a classifier, which is the Learned part of the data structure. Although it has a central role in those new filters, and its space footprint as well as classification time may affect the performance of the Learned Filter, no systematic study of which specific classifier to use in which circumstances is available. We report progress in this area here, providing also initial guidelines on which classifier to choose among five classic classification paradigms.
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in Harvard Style
Fumagalli G., Raimondi D., Giancarlo R., Malchiodi D. and Frasca M. (2022). On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 675-682. DOI: 10.5220/0010889000003122
in Bibtex Style
@conference{icpram22,
author={Giacomo Fumagalli and Davide Raimondi and Raffaele Giancarlo and Dario Malchiodi and Marco Frasca},
title={On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={675-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010889000003122},
isbn={978-989-758-549-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
SN - 978-989-758-549-4
AU - Fumagalli G.
AU - Raimondi D.
AU - Giancarlo R.
AU - Malchiodi D.
AU - Frasca M.
PY - 2022
SP - 675
EP - 682
DO - 10.5220/0010889000003122