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Multivariate Time Series Anomaly Scoring Dashboard

Research output: Exhibits, objects and web-based outputs › Software

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

Research output: Exhibits, objects and web-based outputs › Software

Harvard

Granados Garcia, GC, Multivariate Time Series Anomaly Scoring Dashboard, 2024, Software, Zenodo. https://doi.org/10.5281/zenodo.14283663

APA

Granados Garcia, G. C. (2024). Multivariate Time Series Anomaly Scoring Dashboard. Software, Zenodo. https://doi.org/10.5281/zenodo.14283663

Vancouver

Granados Garcia GC. Multivariate Time Series Anomaly Scoring Dashboard Zenodo. 2024. doi: 10.5281/zenodo.14283663

Author

Granados Garcia, Guillermo Cuauhtemoctzin (Artist). / Multivariate Time Series Anomaly Scoring Dashboard. [Software].

Bibtex

@misc{aff7b7138c594af18c1598fc23a6d2fd,
title = "Multivariate Time Series Anomaly Scoring Dashboard",
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.",
keywords = "Anomaly detection, Time series analysis, Rank ordering, Visualisation of data",
author = "{Granados Garcia}, {Guillermo Cuauhtemoctzin}",
year = "2024",
month = nov,
day = "21",
doi = "10.5281/zenodo.14283663",
language = "English",
publisher = "Zenodo",

}

RIS

TY - ADVS

T1 - Multivariate Time Series Anomaly Scoring Dashboard

A2 - Granados Garcia, Guillermo Cuauhtemoctzin

PY - 2024/11/21

Y1 - 2024/11/21

N2 - 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.

AB - 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.

KW - Anomaly detection

KW - Time series analysis

KW - Rank ordering

KW - Visualisation of data

U2 - 10.5281/zenodo.14283663

DO - 10.5281/zenodo.14283663

M3 - Software

PB - Zenodo

ER -