On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study

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Title
On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study
Authors
Keywords
Anomaly detection, Support vector machines, Time series segmentation, Kalman filters, Oil industry application
Journal
Journal of Applied Logic
Volume 24, Issue -, Pages 71-84
Publisher
Elsevier BV
Online
2016-11-12
DOI
10.1016/j.jal.2016.11.015

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