Multivariate Time Series Anomaly Scoring Dashboard

Granados Garcia, Guillermo Cuauhtemoctzin (2024) Multivariate Time Series Anomaly Scoring Dashboard. Zenodo.

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Abstract

This dashboard allows users to upload, explore visually, and rank multivariate time series data by assigning anomaly scores using a nearest-neighbor approach. The anomaly scores are computed using the R package AnomalyScore . Different options to compute the scores are provided to ensure a comprehensive analysis of the data.

Item Type:
Other
Uncontrolled Keywords:
Research Output Funding/yes_externally_funded
Subjects:
?? anomaly detectiontime series analysisrank orderingvisualisation of datayes - externally funded ??
ID Code:
226414
Deposited By:
Deposited On:
16 Dec 2024 13:45
Refereed?:
No
Published?:
Published
Last Modified:
18 Dec 2024 01:25