A Sketch Framework for Approximate Data Stream Processing in Sliding Windows-Reference-Cited by-同舟云学术

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A Sketch Framework for Approximate Data Stream Processing in Sliding Windows

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

Author:

Gou Xiangyang,Zhang Yinda,Hu Zhoujing,He Long,Wang Ke,Liu Xilai,Yang Tong,Wang Yi,Cui Bin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09713710.pdf?arnumber=9713710

Reference42 articles.

1. Finding Frequent Items in Data Streams

2. A simpler and more efficient deterministic scheme for finding frequent items over sliding windows

3. Sketch-based querying of distributed sliding-window data streams

4. Heavy hitters in streams and sliding windows;ran;Proc IEEE Int Conf Comput Commun,2016

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1. Intelligent decision-making system for mineral processing production indices based on digital twin interactive visualization;Journal of Visualization;2024-03-28

2. Dichotomy Graph Sketch: Summarizing Graph Streams with High Accuracy Based on Deep Learning;Applied Sciences;2023-12-16

3. A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams;Proceedings of the ACM on Management of Data;2023-12-08

4. MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Finding the Top-K Heavy Hitters in Data Streams: A Reconfigurable Accelerator Based on an FPGA-Optimized Algorithm;Electronics;2023-05-24

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