Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps.

Haibo Wang; Chaoyi Ma; Shigang Chen; Yuanda Wang

doi:10.1109/TNET.2022.3147204

Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps.

Haibo Wang, Chaoyi Ma, Shigang Chen, Yuanda Wang

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Original language	Undefined/Unknown
Article number	4
Pages (from-to)	1674-1688
Number of pages	15
Journal	IEEE/ACM Trans. Netw.
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/TNET.2022.3147204
State	Published - 2022

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

10.1109/TNET.2022.3147204

https://dblp.org/db/journals/ton/ton30.html#WangMCW22

Cite this

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title = "Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps.",

author = "Haibo Wang and Chaoyi Ma and Shigang Chen and Yuanda Wang",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2022",

doi = "10.1109/TNET.2022.3147204",

language = "Undefined/Unknown",

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AU - Wang, Haibo

AU - Ma, Chaoyi

AU - Chen, Shigang

AU - Wang, Yuanda

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2022

Y1 - 2022

U2 - 10.1109/TNET.2022.3147204

DO - 10.1109/TNET.2022.3147204

M3 - Article

VL - 30

SP - 1674

EP - 1688

JO - IEEE/ACM Trans. Netw.

JF - IEEE/ACM Trans. Netw.

IS - 4

M1 - 4

ER -