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  4. MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series

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Author(s)
Liu, Dongyu
•
Alnegheimish, Sarah
•
Zytek, Alexandra
•
Veeramachaneni, Kalyan
Date Issued
April 7, 2022
Journal
PACM on Human-Computer Interaction
Publisher
ACM
Citation
Liu, Dongyu, Alnegheimish, Sarah, Zytek, Alexandra and Veeramachaneni, Kalyan. 2022. "MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series." PACM on Human-Computer Interaction.
Version
Final published version
MIT Department
MIT Schwarzmann College of Computing
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/146166
DOI of Published Version
https://doi.org/10.1145/3512950
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