Combining support vector machines and segmentation algorithms for efficient anomaly detection: a petroleum industry application Conference Contributions uri icon

event

  • International Joint Conference SOCO'14-CISIS'14-ICEUTE'14

participation category

  • PONENCIA

main title

  • International Joint Conference SOCO'14-CISIS'14-ICEUTE'14: Bilbao, Spain, June 25th-27th, 2014, Proceedings

edition country

  • SUIZA

publication date

  • 2014

start page

  • 269

end page

  • 278

isbn

  • 978-3-319-07994-3

series title / series number

  • Advances in intelligent systems and computing

issue

  • 299

keywords

  • anomaly detection; support vector machines; time series segmentation; oil industry application