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Two-level energy-efficient data reduction strategies based on SAX-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks

Crossref DOI link: https://doi.org/10.1007/s11227-022-04548-7

Published Online: 2022-05-25

Published Print: 2022-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Al-Qurabat, Ali Kadhum M. https://orcid.org/0000-0002-8522-290X
Abdulzahra, Suha Abdulhussein

Idrees, Ali Kadhum
License Information

Text and Data Mining valid from 2022-05-25

Version of Record valid from 2022-05-25
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Article History

Accepted: 16 April 2022

First Online: 25 May 2022

Declarations

:

: On behalf of all authors, the corresponding author states that there is no conflict of interest.

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