GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT-Reference-Cited by-同舟云学术

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GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT

Published:2024-04 Issue:4 Volume:20 Page:6954-6962
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Hurst Aaron¹^ORCID,Lucani Daniel E.¹^ORCID,Zhang Qi¹^ORCID

Affiliation:

1. DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

Funder

Analytics Straight on Compressed IoT Data

Danish Council for Independent Research

Aarhus University's DIGIT Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10492621/10415888.pdf?arnumber=10415888

Reference35 articles.

1. Internet of Things is a revolutionary approach for future technology enhancement: a review

2. Industrial Internet of Things: Challenges, Opportunities, and Directions

3. A Unified Approach for Compression and Authentication of Smart Meter Reading in AMI

4. A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications

5. A Survey on the Edge Computing for the Internet of Things

Cited by 2 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. triaGeD: using compression for anomaly detection;2024 Data Compression Conference (DCC);2024-03-19

2. PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression;Proceedings of the VLDB Endowment;2024-02

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