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Cristin result ID:
2113306
Last modified:
February 22, 2023, 3:22 PM
Result
Report
2022
Anomaly Detection of Noisy Time Series — A Story from the Industry
Klaus Johannsen
Publisher/series
Publisher/series
Publisher
Medium
About the result
About the result
Report
Year of publication: 2022
Number of pages: 10
Classification
Classification
Field of expertise (NPI)
Field of expertise: ICT
- Academic discipline: Natural Sciences and Engineering
Description
Description
English
Title
Anomaly Detection of Noisy Time Series — A Story from the Industry
Summary
A statistical approach to semi-supervised anomaly detection using Gaussian mixture models for density estimation
Contributors
Contributors
Klaus Johannsen
Author
at NORCE Energy & Technology at NORCE Norwegian Research Centre AS
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