A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship

https://hdl.handle.net/10779/DRO/DU:28216355

journal contribution

posted on 2025-04-17, 04:20 authored by R Idrees, Ananda MaitiAnanda Maiti, S Garg

A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship

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DOI - Is version of https://doi.org/10.1007/s10115-024-02303-3

Location

Berlin, Germany

Open access

No

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Knowledge and Information Systems

Volume

67

Pagination

2641-2690

ISSN

0219-1377

eISSN

0219-3116

Publisher

Springer

Publication URL

https://doi.org/10.1007/s10115-024-02303-3

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Categories

Keywords

Anomaly detection Clustering Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Deviations Multivariate time series Outlier detection Science & Technology Sensor relationship Technology

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