A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship
Crossref DOI link: https://doi.org/10.1007/s10115-024-02303-3
Published Online: 2024-12-17
Published Print: 2025-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Idrees, Rabbia
Maiti, Ananda
Garg, Saurabh
Text and Data Mining valid from 2024-12-17
Version of Record valid from 2024-12-17
Article History
Received: 18 January 2023
Revised: 17 September 2024
Accepted: 26 November 2024
First Online: 17 December 2024
Declarations
:
: The authors declare no conflict of interest.