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Anomaly Detection Based on Sensor Data in Petroleum Industry Applications
Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anom...
Shranjeno v:
| izdano v: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2015
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4367333/ https://ncbi.nlm.nih.gov/pubmed/25633599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150202774 |
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