Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time-Reference-Cited by-同舟云学术

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Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time

Published:2022-01-01 Issue:1 Volume:34 Page:92-106
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Jia Peng^ORCID,Wang Pinghui^ORCID,Zhang Yuchao,Zhang Xiangliang^ORCID,Tao Jing,Ding Jianwei,Guan Xiaohong,Towsley Don^ORCID

Funder

National Key R and D Program of China

Natural Science Basic Research Plan in Shaanxi Province of China

National Natural Science Foundation of China

Shenzhen Basic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/9639435/09007395.pdf?arnumber=9007395

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SuperGuardian: Superspreader removal for cardinality estimation in data streaming;Information Systems;2024-05

2. KTSketch: Finding k-Persistent t-Spread Flows in High-Speed Networks;Lecture Notes in Computer Science;2024

3. SPADA: A Sparse Approximate Data Structure Representation for Data Plane Per-flow Monitoring;Proceedings of the ACM on Networking;2023-11-27

4. MIME: Fast and Accurate Flow Information Compression for Multi-Spread Estimation;2023 IEEE 31st International Conference on Network Protocols (ICNP);2023-10-10

5. Fast Gumbel-Max Sketch and its Applications;IEEE Transactions on Knowledge and Data Engineering;2023-09-01

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