Efficient Query Method for Collaborative Sharing of Monitoring-Based Data Streams Based on a Distributed Platform-Reference-Cited by-同舟云学术

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Efficient Query Method for Collaborative Sharing of Monitoring-Based Data Streams Based on a Distributed Platform

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD)
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Author:

Gu Zheng¹,Yang Feng²,Liu Wen³,Ren Yajing¹,Liu Wenxinran¹,Hai Ling¹

Affiliation:

1. Xinjiang Institute of Engineering,Artificial Intelligence and Smart Mine Engineering Technology Center,Urumqi,China,830023

2. Xinjiang Institute of Engineering,Computer Information Center,Urumqi,China,830023

3. Artificial Intelligence and Smart Mine Engineering Technology Center Xinjiang Institute of Engineering,Xinjiang Changsen Data Technology Co,China,830011

Funder

Xinjiang University

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206048/10206041/10206335.pdf?arnumber=10206335

Reference13 articles.

1. Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches

2. Optimal and general out-of-order sliding-window aggregation

3. Sliding-Window Probabilistic Threshold Aggregate Queries on Uncertain Data Streams

4. Optimized processing of multiple aggregate continuous queries

5. Uncertainty in big data analytics: survey, opportunities, and challenges

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